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Title: GitHub - pineclone/Transformers-Tutorials: This repository contains demos I made with the Transformers library by HuggingFace.

Open Graph Title: GitHub - pineclone/Transformers-Tutorials: This repository contains demos I made with the Transformers library by HuggingFace.

X Title: GitHub - pineclone/Transformers-Tutorials: This repository contains demos I made with the Transformers library by HuggingFace.

Description: This repository contains demos I made with the Transformers library by HuggingFace. - pineclone/Transformers-Tutorials

Open Graph Description: This repository contains demos I made with the Transformers library by HuggingFace. - pineclone/Transformers-Tutorials

X Description: This repository contains demos I made with the Transformers library by HuggingFace. - pineclone/Transformers-Tutorials

Opengraph URL: https://github.com/pineclone/Transformers-Tutorials

X: @github

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LICENSEhttps://patch-diff.githubusercontent.com/pineclone/Transformers-Tutorials/blob/master/LICENSE
LICENSEhttps://patch-diff.githubusercontent.com/pineclone/Transformers-Tutorials/blob/master/LICENSE
README.mdhttps://patch-diff.githubusercontent.com/pineclone/Transformers-Tutorials/blob/master/README.md
README.mdhttps://patch-diff.githubusercontent.com/pineclone/Transformers-Tutorials/blob/master/README.md
READMEhttps://patch-diff.githubusercontent.com/pineclone/Transformers-Tutorials
Licensehttps://patch-diff.githubusercontent.com/pineclone/Transformers-Tutorials
https://patch-diff.githubusercontent.com/pineclone/Transformers-Tutorials#transformers-tutorials
Transformers libraryhttps://github.com/huggingface/transformers
free coursehttps://huggingface.co/course/chapter1
Transformershttps://github.com/huggingface/transformers
Tokenizershttps://github.com/huggingface/tokenizers
Datasetshttps://github.com/huggingface/datasets
Acceleratehttps://github.com/huggingface/accelerate
hubhttps://huggingface.co/
this notebookhttps://github.com/NielsRogge/Transformers-Tutorials/blob/master/HuggingFace_vision_ecosystem_overview_(June_2022).ipynb
videohttps://www.youtube.com/watch?v=oL-xmufhZM8&t=2884s
paperhttps://arxiv.org/abs/2104.01778
https://colab.research.google.com/github/NielsRogge/Transformers-Tutorials/blob/master/AST/Inference_with_the_Audio_Spectogram_Transformer_to_classify_audio.ipynb
paperhttps://arxiv.org/abs/1810.04805
https://colab.research.google.com/github/NielsRogge/Transformers-Tutorials/blob/master/BERT/Custom_Named_Entity_Recognition_with_BERT_only_first_wordpiece.ipynb
https://colab.research.google.com/github/NielsRogge/Transformers-Tutorials/blob/master/BERT/Fine_tuning_BERT_(and_friends)_for_multi_label_text_classification.ipynb
https://colab.research.google.com/github/NielsRogge/Transformers-Tutorials/blob/master/BEiT/Understanding_BeitForMaskedImageModeling.ipynb
paperhttps://arxiv.org/abs/2103.06874
https://colab.research.google.com/github/NielsRogge/Transformers-Tutorials/blob/master/CANINE/Fine_tune_CANINE_on_IMDb_(movie_review_binary_classification).ipynb
paperhttps://arxiv.org/abs/2112.10003
https://colab.research.google.com/github/NielsRogge/Transformers-Tutorials/blob/master/CLIPSeg/Zero_shot_image_segmentation_with_CLIPSeg.ipynb
paperhttps://arxiv.org/abs/2108.06152
https://colab.research.google.com/github/NielsRogge/Transformers-Tutorials/blob/master/Conditional%20DETR/Run_inference_with_Conditional_DETR.ipynb
https://colab.research.google.com/github/NielsRogge/Transformers-Tutorials/blob/master/Conditional%20DETR/Fine_tuning_Conditional_DETR_on_custom_dataset_(balloon).ipynb
paperhttps://arxiv.org/abs/2201.03545
https://colab.research.google.com/github/NielsRogge/Transformers-Tutorials/blob/master/ConvNeXT/Fine_tune_ConvNeXT_for_image_classification.ipynb
paperhttps://arxiv.org/abs/2104.14294
https://colab.research.google.com/github/NielsRogge/Transformers-Tutorials/blob/master/DINO/Visualize_self_attention_of_DINO.ipynb
paperhttps://arxiv.org/abs/2005.12872
https://colab.research.google.com/github/NielsRogge/Transformers-Tutorials/blob/master/DETR/DETR_minimal_example_(with_DetrFeatureExtractor).ipynb
https://colab.research.google.com/github/NielsRogge/Transformers-Tutorials/blob/master/DETR/Fine_tuning_DetrForObjectDetection_on_custom_dataset_(balloon).ipynb
https://colab.research.google.com/github/NielsRogge/Transformers-Tutorials/blob/master/DETR/Evaluating_DETR_on_COCO_validation_2017.ipynb
https://colab.research.google.com/github/NielsRogge/Transformers-Tutorials/blob/master/DETR/DETR_panoptic_segmentation_minimal_example_(with_DetrFeatureExtractor).ipynb
https://colab.research.google.com/github/NielsRogge/Transformers-Tutorials/blob/master/DETR/Fine_tuning_DetrForSegmentation_on_custom_dataset_end_to_end_approach.ipynb
paperhttps://arxiv.org/abs/2103.13413
https://colab.research.google.com/github/NielsRogge/Transformers-Tutorials/blob/master/DPT/DPT_inference_notebook_(depth_estimation).ipynb
https://colab.research.google.com/github/NielsRogge/Transformers-Tutorials/blob/master/DPT/DPT_inference_notebook_(semantic_segmentation).ipynb
paperhttps://arxiv.org/abs/2010.04159
https://colab.research.google.com/github/NielsRogge/Transformers-Tutorials/blob/master/Deformable-DETR/Inference_with_Deformable_DETR_(CPU).ipynb
paperhttps://arxiv.org/abs/2203.02378
https://colab.research.google.com/github/NielsRogge/Transformers-Tutorials/blob/master/DiT/Inference_with_DiT_(Document_Image_Transformer)_for_document_image_classification.ipynb
paperhttps://arxiv.org/abs/2111.15664
https://colab.research.google.com/github/NielsRogge/Transformers-Tutorials/blob/master/Donut/RVL-CDIP/Quick_inference_with_DONUT_for_Document_Image_Classification.ipynb
https://colab.research.google.com/github/NielsRogge/Transformers-Tutorials/blob/master/Donut/RVL-CDIP/Fine_tune_Donut_on_toy_RVL_CDIP_(document_image_classification).ipynb
https://colab.research.google.com/github/NielsRogge/Transformers-Tutorials/blob/master/Donut/DocVQA/Quick_inference_with_DONUT_for_DocVQA.ipynb
https://colab.research.google.com/github/NielsRogge/Transformers-Tutorials/blob/master/Donut/CORD/Quick_inference_with_DONUT_for_Document_Parsing.ipynb
https://colab.research.google.com/github/NielsRogge/Transformers-Tutorials/blob/master/Donut/CORD/Fine_tune_Donut_on_a_custom_dataset_(CORD)_with_PyTorch_Lightning.ipynb
paperhttps://arxiv.org/abs/2205.14100
https://colab.research.google.com/github/NielsRogge/Transformers-Tutorials/blob/master/GIT/Inference_with_GIT_for_image_video_captioning_and_image_video_QA.ipynb
https://colab.research.google.com/github/NielsRogge/Transformers-Tutorials/blob/master/GIT/Fine_tune_GIT_on_an_image_captioning_dataset.ipynb
paperhttps://arxiv.org/abs/2201.07436
https://colab.research.google.com/github/NielsRogge/Transformers-Tutorials/blob/master/GLPN/GLPN_inference_(depth_estimation).ipynb
repositoryhttps://github.com/kingoflolz/mesh-transformer-jax
https://colab.research.google.com/github/NielsRogge/Transformers-Tutorials/blob/master/GPT-J-6B/Inference_with_GPT_J_6B.ipynb
repositoryhttps://github.com/NVlabs/GroupViT
https://colab.research.google.com/github/NielsRogge/Transformers-Tutorials/blob/master/GroupViT/Inference_with_GroupViT_for_zero_shot_semantic_segmentation.ipynb
blog posthttps://openai.com/blog/image-gpt/
https://colab.research.google.com/github/NielsRogge/Transformers-Tutorials/blob/master/ImageGPT/(Un)conditional_image_generation_with_ImageGPT.ipynb
https://colab.research.google.com/github/NielsRogge/Transformers-Tutorials/blob/master/ImageGPT/Linear_probing_with_ImageGPT.ipynb
paperhttps://arxiv.org/abs/2010.01057
https://colab.research.google.com/github/NielsRogge/Transformers-Tutorials/blob/master/LUKE/Supervised_relation_extraction_with_LukeForEntityPairClassification.ipynb
paperhttps://arxiv.org/abs/1912.13318
FUNSDhttps://guillaumejaume.github.io/FUNSD/
https://colab.research.google.com/github/NielsRogge/Transformers-Tutorials/blob/master/LayoutLM/Fine_tuning_LayoutLMForTokenClassification_on_FUNSD.ipynb
RVL-CDIPhttps://www.cs.cmu.edu/~aharley/rvl-cdip/
https://colab.research.google.com/github/NielsRogge/Transformers-Tutorials/blob/master/LayoutLM/Fine_tuning_LayoutLMForSequenceClassification_on_RVL_CDIP.ipynb
FUNSDhttps://guillaumejaume.github.io/FUNSD/
https://colab.research.google.com/github/NielsRogge/Transformers-Tutorials/blob/master/LayoutLM/Add_image_embeddings_to_LayoutLM.ipynb
paperhttps://arxiv.org/abs/2012.14740
https://colab.research.google.com/github/NielsRogge/Transformers-Tutorials/blob/master/LayoutLMv2/RVL-CDIP/Fine_tuning_LayoutLMv2ForSequenceClassification_on_RVL_CDIP.ipynb
https://colab.research.google.com/github/NielsRogge/Transformers-Tutorials/blob/master/LayoutLMv2/FUNSD/Fine_tuning_LayoutLMv2ForTokenClassification_on_FUNSD.ipynb
https://colab.research.google.com/github/NielsRogge/Transformers-Tutorials/blob/master/LayoutLMv2/FUNSD/Fine_tuning_LayoutLMv2ForTokenClassification_on_FUNSD_using_HuggingFace_Trainer.ipynb
https://colab.research.google.com/github/NielsRogge/Transformers-Tutorials/blob/master/LayoutLMv2/FUNSD/Inference_with_LayoutLMv2ForTokenClassification.ipynb
https://colab.research.google.com/github/NielsRogge/Transformers-Tutorials/blob/master/LayoutLMv2/FUNSD/True_inference_with_LayoutLMv2ForTokenClassification_%2B_Gradio_demo.ipynb
https://colab.research.google.com/github/NielsRogge/Transformers-Tutorials/blob/master/LayoutLMv2/CORD/Fine_tuning_LayoutLMv2ForTokenClassification_on_CORD.ipynb
https://colab.research.google.com/github/NielsRogge/Transformers-Tutorials/blob/master/LayoutLMv2/DocVQA/Fine_tuning_LayoutLMv2ForQuestionAnswering_on_DocVQA.ipynb
paperhttps://arxiv.org/abs/2204.08387
FUNSDhttps://guillaumejaume.github.io/FUNSD/
https://colab.research.google.com/github/NielsRogge/Transformers-Tutorials/blob/master/LayoutLMv3/Fine_tune_LayoutLMv3_on_FUNSD_(HuggingFace_Trainer).ipynb
paperhttps://arxiv.org/abs/2104.08836
XFUNDhttps://github.com/doc-analysis/XFUND
https://colab.research.google.com/github/NielsRogge/Transformers-Tutorials/blob/master/LayoutXLM/Fine_tuning_LayoutXLM_on_XFUND_for_token_classification_using_HuggingFace_Trainer.ipynb
XFUNDhttps://github.com/doc-analysis/XFUND
https://colab.research.google.com/github/NielsRogge/Transformers-Tutorials/blob/master/LayoutXLM/Fine_tune_LayoutXLM_on_XFUND_(relation_extraction).ipynb
paperhttps://arxiv.org/abs/2110.08518
https://colab.research.google.com/github/NielsRogge/Transformers-Tutorials/blob/master/MarkupLM/Inference_with_MarkupLM_for_question_answering_on_web_pages.ipynb
https://colab.research.google.com/github/NielsRogge/Transformers-Tutorials/blob/master/MarkupLM/Fine_tune_MarkupLMForTokenClassification_on_a_custom_dataset.ipynb
paperhttps://arxiv.org/abs/2112.01527
https://colab.research.google.com/github/NielsRogge/Transformers-Tutorials/blob/master/Mask2Former/Inference_with_Mask2Former.ipynb
paperhttps://arxiv.org/abs/2107.06278
https://colab.research.google.com/github/NielsRogge/Transformers-Tutorials/blob/master/MaskFormer/maskformer_minimal_example(with_MaskFormerFeatureExtractor).ipynb
https://colab.research.google.com/github/NielsRogge/Transformers-Tutorials/blob/master/MaskFormer/Fine_tune_MaskFormer_on_custom_dataset.ipynb
paperhttps://arxiv.org/abs/2211.06220
https://colab.research.google.com/github/NielsRogge/Transformers-Tutorials/blob/master/OneFormer/Inference_with_OneFormer.ipynb
paperhttps://arxiv.org/abs/2107.14795
https://colab.research.google.com/github/NielsRogge/Transformers-Tutorials/blob/master/Perceiver/Perceiver_for_masked_language_modeling_and_image_classification.ipynb
https://colab.research.google.com/github/NielsRogge/Transformers-Tutorials/blob/master/Perceiver/Fine_tune_the_Perceiver_for_image_classification.ipynb
https://colab.research.google.com/github/NielsRogge/Transformers-Tutorials/blob/master/Perceiver/Fine_tune_Perceiver_for_text_classification.ipynb
https://colab.research.google.com/github/NielsRogge/Transformers-Tutorials/blob/master/Perceiver/Perceiver_for_Optical_Flow.ipynb
https://colab.research.google.com/github/NielsRogge/Transformers-Tutorials/blob/master/Perceiver/Perceiver_for_Multimodal_Autoencoding.ipynb
https://colab.research.google.com/github/NielsRogge/Transformers-Tutorials/blob/master/SAM/Run_inference_with_MedSAM_using_HuggingFace_Transformers.ipynb
https://colab.research.google.com/github/NielsRogge/Transformers-Tutorials/blob/master/SAM/Fine_tune_SAM_(segment_anything)_on_a_custom_dataset.ipynb
paperhttps://arxiv.org/abs/2105.15203
https://colab.research.google.com/github/NielsRogge/Transformers-Tutorials/blob/master/SegFormer/Segformer_inference_notebook.ipynb
https://colab.research.google.com/github/NielsRogge/Transformers-Tutorials/blob/master/SegFormer/Fine_tune_SegFormer_on_custom_dataset.ipynb
paperhttps://arxiv.org/abs/1910.10683
https://colab.research.google.com/github/NielsRogge/Transformers-Tutorials/tree/master/T5
https://colab.research.google.com/github/NielsRogge/Transformers-Tutorials/blob/master/T5/Fine_tune_CodeT5_for_generating_docstrings_from_Ruby_code.ipynb
paperhttps://arxiv.org/abs/2004.02349
Sequential Question Answering (SQA)https://www.microsoft.com/en-us/download/details.aspx?id=54253
https://colab.research.google.com/github/NielsRogge/Transformers-Tutorials/blob/master/TAPAS/Fine_tuning_TapasForQuestionAnswering_on_SQA.ipynb
Table Fact Checking (TabFact)https://tabfact.github.io/
https://colab.research.google.com/github/NielsRogge/Transformers-Tutorials/blob/master/TAPAS/Evaluating_TAPAS_on_the_Tabfact_test_set.ipynb
paperhttps://arxiv.org/abs/2110.00061
https://colab.research.google.com/github/NielsRogge/Transformers-Tutorials/blob/master/Table%20Transformer/Using_Table_Transformer_for_table_detection_and_table_structure_recognition.ipynb
paperhttps://arxiv.org/abs/2109.10282
https://colab.research.google.com/github/NielsRogge/Transformers-Tutorials/blob/master/TrOCR/Inference_with_TrOCR_%2B_Gradio_demo.ipynb
https://colab.research.google.com/github/NielsRogge/Transformers-Tutorials/blob/master/TrOCR/Fine_tune_TrOCR_on_IAM_Handwriting_Database_using_Seq2SeqTrainer.ipynb
https://colab.research.google.com/github/NielsRogge/Transformers-Tutorials/blob/master/TrOCR/Fine_tune_TrOCR_on_IAM_Handwriting_Database_using_native_PyTorch.ipynb
https://colab.research.google.com/github/NielsRogge/Transformers-Tutorials/blob/master/TrOCR/Evaluating_TrOCR_base_handwritten_on_the_IAM_test_set.ipynb
paperhttps://arxiv.org/abs/1807.10221
https://colab.research.google.com/github/NielsRogge/Transformers-Tutorials/blob/master/UPerNet/Perform_inference_with_UperNetForSemanticSegmentation_(Swin_backbone).ipynb
paperhttps://arxiv.org/abs/2203.12602
https://colab.research.google.com/github/NielsRogge/Transformers-Tutorials/blob/master/VideoMAE/Quick_inference_with_VideoMAE.ipynb
paperhttps://arxiv.org/abs/2102.03334
https://colab.research.google.com/github/NielsRogge/Transformers-Tutorials/blob/master/ViLT/Fine_tuning_ViLT_for_VQA.ipynb
https://colab.research.google.com/github/NielsRogge/Transformers-Tutorials/blob/master/ViLT/Inference_with_ViLT_(visual_question_answering).ipynb
https://colab.research.google.com/github/NielsRogge/Transformers-Tutorials/blob/master/ViLT/Masked_language_modeling_with_ViLT.ipynb
https://colab.research.google.com/github/NielsRogge/Transformers-Tutorials/blob/master/ViLT/Using_ViLT_for_image_text_retrieval.ipynb
https://colab.research.google.com/github/NielsRogge/Transformers-Tutorials/blob/master/ViLT/ViLT_for_natural_language_visual_reasoning.ipynb
paperhttps://arxiv.org/abs/2111.06377
https://colab.research.google.com/github/NielsRogge/Transformers-Tutorials/blob/master/ViTMAE/ViT_MAE_visualization_demo.ipynb
paperhttps://arxiv.org/abs/2010.11929
https://colab.research.google.com/github/NielsRogge/Transformers-Tutorials/blob/master/VisionTransformer/Quick_demo_of_HuggingFace_version_of_Vision_Transformer_inference.ipynb
CIFAR-10https://www.cs.toronto.edu/~kriz/cifar.html
https://colab.research.google.com/github/NielsRogge/Transformers-Tutorials/blob/master/VisionTransformer/Fine_tuning_the_Vision_Transformer_on_CIFAR_10_with_PyTorch_Lightning.ipynb
CIFAR-10https://www.cs.toronto.edu/~kriz/cifar.html
https://colab.research.google.com/github/NielsRogge/Transformers-Tutorials/blob/master/VisionTransformer/Fine_tuning_the_Vision_Transformer_on_CIFAR_10_with_the_%F0%9F%A4%97_Trainer.ipynb
paperhttps://arxiv.org/abs/2208.02816
https://colab.research.google.com/github/NielsRogge/Transformers-Tutorials/blob/master/X-CLIP/Video_text_matching_with_X_CLIP.ipynb
https://colab.research.google.com/github/NielsRogge/Transformers-Tutorials/blob/master/X-CLIP/Zero_shot_classify_a_YouTube_video_with_X_CLIP.ipynb
paperhttps://arxiv.org/abs/2106.00666
https://colab.research.google.com/github/NielsRogge/Transformers-Tutorials/blob/master/YOLOS/Fine_tuning_YOLOS_for_object_detection_on_custom_dataset_(balloon).ipynb
https://colab.research.google.com/github/NielsRogge/Transformers-Tutorials/blob/master/YOLOS/YOLOS_minimal_inference_example.ipynb
https://patch-diff.githubusercontent.com/pineclone/Transformers-Tutorials#data-preprocessing
HuggingFace Datasetshttps://huggingface.co/docs/datasets/
Apache Arrowhttps://arrow.apache.org/
HuggingFace hubhttps://huggingface.co/datasets
docshttps://huggingface.co/docs/datasets/loading.html#local-and-remote-files
https://patch-diff.githubusercontent.com/pineclone/Transformers-Tutorials#training-frameworks
this great PyTorch intro tutorialhttps://patch-diff.githubusercontent.com/pineclone/Transformers-Tutorials/blob/master
PyTorch Lightning (PL)https://www.pytorchlightning.ai/
HuggingFace Trainerhttps://huggingface.co/transformers/main_classes/trainer.html
PyTorch example scriptshttps://github.com/huggingface/transformers/tree/master/examples/pytorch
HuggingFace Acceleratehttps://github.com/huggingface/accelerate
Readme https://patch-diff.githubusercontent.com/pineclone/Transformers-Tutorials#readme-ov-file
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