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Title: GitHub - loco/transformers-php: Transformers PHP is a toolkit for PHP developers to add machine learning magic to their projects easily.

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Description: Transformers PHP is a toolkit for PHP developers to add machine learning magic to their projects easily. - GitHub - loco/transformers-php: Transformers PHP is a toolkit for PHP developers to add machine learning magic to their projects easily.

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ONNX Runtimehttps://onnxruntime.ai/
🤗 Optimumhttps://github.com/huggingface/optimum#onnx--onnx-runtime
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Fill-Maskhttps://codewithkyrian.github.io/transformers-php/fill-mask
Question Answeringhttps://codewithkyrian.github.io/transformers-php/question-answering
Sentence Similarityhttps://codewithkyrian.github.io/transformers-php/sentence-similarity
Summarizationhttps://codewithkyrian.github.io/transformers-php/summarization
Table Question Answeringhttps://huggingface.co/tasks/table-question-answering
Text Classificationhttps://codewithkyrian.github.io/transformers-php/text-classification
Text Generationhttps://codewithkyrian.github.io/transformers-php/text-generation
Text-to-text Generationhttps://codewithkyrian.github.io/transformers-php/text-to-text-generation
Token Classificationhttps://codewithkyrian.github.io/transformers-php/token-classification
Translationhttps://codewithkyrian.github.io/transformers-php/translation
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https://patch-diff.githubusercontent.com/loco/transformers-php#vision
Depth Estimationhttps://codewithkyrian.github.io/transformers-php/depth-estimation
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https://patch-diff.githubusercontent.com/loco/transformers-php#audio
Audio Classificationhttps://huggingface.co/tasks/audio-classification
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Tabular Classificationhttps://huggingface.co/tasks/tabular-classification
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https://patch-diff.githubusercontent.com/loco/transformers-php#multimodal
Document Question Answeringhttps://huggingface.co/tasks/document-question-answering
Feature Extractionhttps://codewithkyrian.github.io/transformers-php/feature-extraction
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Image-to-Texthttps://codewithkyrian.github.io/transformers-php/image-to-text
Text-to-Imagehttps://huggingface.co/tasks/text-to-image
Visual Question Answeringhttps://huggingface.co/tasks/visual-question-answering
Zero-Shot Audio Classificationhttps://huggingface.co/learn/audio-course/chapter4/classification_models#zero-shot-audio-classification
Zero-Shot Image Classificationhttps://codewithkyrian.github.io/transformers-php/zero-shot-image-classification
Zero-Shot Object Detectionhttps://codewithkyrian.github.io/transformers-php/zero-shot-object-detection
https://patch-diff.githubusercontent.com/loco/transformers-php#reinforcement-learning
Reinforcement Learninghttps://huggingface.co/tasks/reinforcement-learning
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ALBERThttps://huggingface.co/docs/transformers/model_doc/albert
ALBERT: A Lite BERT for Self-supervised Learning of Language Representationshttps://arxiv.org/abs/1909.11942
BARThttps://huggingface.co/docs/transformers/model_doc/bart
BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehensionhttps://arxiv.org/abs/1910.13461
BERThttps://huggingface.co/docs/transformers/model_doc/bert
BERT: Pre-training of Deep Bidirectional Transformers for Language Understandinghttps://arxiv.org/abs/1810.04805
BERT For Sequence Generationhttps://huggingface.co/docs/transformers/model_doc/bert-generation
Leveraging Pre-trained Checkpoints for Sequence Generation Taskshttps://arxiv.org/abs/1907.12461
BERTweethttps://huggingface.co/docs/transformers/model_doc/bertweet
BERTweet: A pre-trained language model for English Tweetshttps://aclanthology.org/2020.emnlp-demos.2/
BigBird-Pegasushttps://huggingface.co/docs/transformers/model_doc/bigbird_pegasus
Big Bird: Transformers for Longer Sequenceshttps://arxiv.org/abs/2007.14062
BigBird-RoBERTahttps://huggingface.co/docs/transformers/model_doc/big_bird
Big Bird: Transformers for Longer Sequenceshttps://arxiv.org/abs/2007.14062
CLIPhttps://huggingface.co/docs/transformers/model_doc/clip
Learning Transferable Visual Models From Natural Language Supervisionhttps://arxiv.org/abs/2103.00020
CodeGenhttps://huggingface.co/docs/transformers/model_doc/codegen
A Conversational Paradigm for Program Synthesishttps://arxiv.org/abs/2203.13474
ConvBERThttps://huggingface.co/docs/transformers/model_doc/convbert
ConvBERT: Improving BERT with Span-based Dynamic Convolutionhttps://arxiv.org/abs/2008.02496
DeBERTahttps://huggingface.co/docs/transformers/model_doc/deberta
DeBERTa: Decoding-enhanced BERT with Disentangled Attentionhttps://arxiv.org/abs/2006.03654
DeBERTa-v2https://huggingface.co/docs/transformers/model_doc/deberta-v2
DeBERTa: Decoding-enhanced BERT with Disentangled Attentionhttps://arxiv.org/abs/2006.03654
DETRhttps://huggingface.co/docs/transformers/model_doc/detr
End-to-End Object Detection with Transformershttps://arxiv.org/abs/2005.12872
DistilBERThttps://huggingface.co/docs/transformers/model_doc/distilbert
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighterhttps://arxiv.org/abs/1910.01108
DistilGPT2https://github.com/huggingface/transformers/tree/main/examples/research_projects/distillation
DistilRoBERTahttps://github.com/huggingface/transformers/tree/main/examples/research_projects/distillation
DistilmBERThttps://github.com/huggingface/transformers/tree/main/examples/research_projects/distillation
Donuthttps://huggingface.co/docs/transformers/model_doc/donut
OCR-free Document Understanding Transformerhttps://arxiv.org/abs/2111.15664
ELECTRAhttps://huggingface.co/docs/transformers/model_doc/electra
ELECTRA: Pre-training text encoders as discriminators rather than generatorshttps://arxiv.org/abs/2003.10555
FLAN-T5https://huggingface.co/docs/transformers/model_doc/flan-t5
google-research/t5xhttps://github.com/google-research/t5x/blob/main/docs/models.md#flan-t5-checkpoints
GPT-2https://huggingface.co/docs/transformers/model_doc/gpt2
Language Models are Unsupervised Multitask Learnershttps://blog.openai.com/better-language-models/
GPT-Jhttps://huggingface.co/docs/transformers/model_doc/gptj
kingoflolz/mesh-transformer-jaxhttps://github.com/kingoflolz/mesh-transformer-jax/
GPTBigCodehttps://huggingface.co/docs/transformers/model_doc/gpt_bigcode
SantaCoder: don't reach for the stars!https://arxiv.org/abs/2301.03988
M2M100https://huggingface.co/docs/transformers/model_doc/m2m_100
Beyond English-Centric Multilingual Machine Translationhttps://arxiv.org/abs/2010.11125
MobileBERThttps://huggingface.co/docs/transformers/model_doc/mobilebert
MobileBERT: a Compact Task-Agnostic BERT for Resource-Limited Deviceshttps://arxiv.org/abs/2004.02984
OWL-ViThttps://huggingface.co/docs/transformers/model_doc/owlvit
Simple Open-Vocabulary Object Detection with Vision Transformershttps://arxiv.org/abs/2205.06230
OWLv2https://huggingface.co/docs/transformers/model_doc/owlv2
Scaling Open-Vocabulary Object Detectionhttps://arxiv.org/abs/2306.09683
RoBERTahttps://huggingface.co/docs/transformers/model_doc/roberta
RoBERTa: A Robustly Optimized BERT Pretraining Approachhttps://arxiv.org/abs/1907.11692
RoBERTa-PreLayerNormhttps://huggingface.co/docs/transformers/model_doc/roberta-prelayernorm
fairseq: A Fast, Extensible Toolkit for Sequence Modelinghttps://arxiv.org/abs/1904.01038
RoFormerhttps://huggingface.co/docs/transformers/model_doc/roformer
RoFormer: Enhanced Transformer with Rotary Position Embeddinghttps://arxiv.org/abs/2104.09864
SigLIPhttps://huggingface.co/docs/transformers/main/model_doc/siglip
Sigmoid Loss for Language Image Pre-Traininghttps://arxiv.org/abs/2303.15343
Swin2SRhttps://huggingface.co/docs/transformers/model_doc/swin2sr
Swin2SR: SwinV2 Transformer for Compressed Image Super-Resolution and Restorationhttps://arxiv.org/abs/2209.11345
T5https://huggingface.co/docs/transformers/model_doc/t5
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformerhttps://arxiv.org/abs/1910.10683
T5v1.1https://huggingface.co/docs/transformers/model_doc/t5v1.1
google-research/text-to-text-transfer-transformerhttps://github.com/google-research/text-to-text-transfer-transformer/blob/main/released_checkpoints.md#t511
TrOCRhttps://huggingface.co/docs/transformers/model_doc/trocr
TrOCR: Transformer-based Optical Character Recognition with Pre-trained Modelshttps://arxiv.org/abs/2109.10282
Vision Transformer (ViT)https://huggingface.co/docs/transformers/model_doc/vit
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scalehttps://arxiv.org/abs/2010.11929
YOLOShttps://huggingface.co/docs/transformers/model_doc/yolos
You Only Look at One Sequence: Rethinking Transformer in Vision through Object Detectionhttps://arxiv.org/abs/2106.00666
codewithkyrian.github.io/transformers-php/https://codewithkyrian.github.io/transformers-php/
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