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/Users/nielsrogge/Documents/python_projecten/transformers/docs/source/en/notebooks.md | https://huggingface.co/docs/transformers/en/notebooks/#natural-language-processingpytorch-nlp | .md | [](https://studiolab.sagemaker.aws/import/github/huggingface/notebooks/blob/main/examples/translation.ipynb)| | 30_3_16 |
/Users/nielsrogge/Documents/python_projecten/transformers/docs/source/en/notebooks.md | https://huggingface.co/docs/transformers/en/notebooks/#natural-language-processingpytorch-nlp | .md | | [How to fine-tune a model on summarization](https://github.com/huggingface/notebooks/blob/main/examples/summarization.ipynb)| Show how to preprocess the data and fine-tune a pretrained model on XSUM. | [](https://colab.research.google.com/githu... | 30_3_17 |
/Users/nielsrogge/Documents/python_projecten/transformers/docs/source/en/notebooks.md | https://huggingface.co/docs/transformers/en/notebooks/#natural-language-processingpytorch-nlp | .md | [](https://studiolab.sagemaker.aws/import/github/huggingface/notebooks/blob/main/examples/summarization.ipynb)| | 30_3_18 |
/Users/nielsrogge/Documents/python_projecten/transformers/docs/source/en/notebooks.md | https://huggingface.co/docs/transformers/en/notebooks/#natural-language-processingpytorch-nlp | .md | | [How to train a language model from scratch](https://github.com/huggingface/blog/blob/main/notebooks/01_how_to_train.ipynb)| Highlight all the steps to effectively train Transformer model on custom data | [](https://colab.research.google.com/gi... | 30_3_19 |
/Users/nielsrogge/Documents/python_projecten/transformers/docs/source/en/notebooks.md | https://huggingface.co/docs/transformers/en/notebooks/#natural-language-processingpytorch-nlp | .md | [](https://studiolab.sagemaker.aws/import/github/huggingface/blog/blob/main/notebooks/01_how_to_train.ipynb)| | 30_3_20 |
/Users/nielsrogge/Documents/python_projecten/transformers/docs/source/en/notebooks.md | https://huggingface.co/docs/transformers/en/notebooks/#natural-language-processingpytorch-nlp | .md | | [How to generate text](https://github.com/huggingface/blog/blob/main/notebooks/02_how_to_generate.ipynb)| How to use different decoding methods for language generation with transformers | [](https://colab.research.google.com/github/huggingface/... | 30_3_21 |
/Users/nielsrogge/Documents/python_projecten/transformers/docs/source/en/notebooks.md | https://huggingface.co/docs/transformers/en/notebooks/#natural-language-processingpytorch-nlp | .md | [](https://studiolab.sagemaker.aws/import/github/huggingface/blog/blob/main/notebooks/02_how_to_generate.ipynb)| | 30_3_22 |
/Users/nielsrogge/Documents/python_projecten/transformers/docs/source/en/notebooks.md | https://huggingface.co/docs/transformers/en/notebooks/#natural-language-processingpytorch-nlp | .md | | [How to generate text (with constraints)](https://github.com/huggingface/blog/blob/main/notebooks/53_constrained_beam_search.ipynb)| How to guide language generation with user-provided constraints | [](https://colab.research.google.com/github/h... | 30_3_23 |
/Users/nielsrogge/Documents/python_projecten/transformers/docs/source/en/notebooks.md | https://huggingface.co/docs/transformers/en/notebooks/#natural-language-processingpytorch-nlp | .md | [](https://studiolab.sagemaker.aws/import/github/huggingface/blog/blob/main/notebooks/53_constrained_beam_search.ipynb)| | 30_3_24 |
/Users/nielsrogge/Documents/python_projecten/transformers/docs/source/en/notebooks.md | https://huggingface.co/docs/transformers/en/notebooks/#natural-language-processingpytorch-nlp | .md | | [Reformer](https://github.com/huggingface/blog/blob/main/notebooks/03_reformer.ipynb)| How Reformer pushes the limits of language modeling | [](https://colab.research.google.com/github/patrickvonplaten/blog/blob/main/notebooks/03_reformer.ipynb... | 30_3_25 |
/Users/nielsrogge/Documents/python_projecten/transformers/docs/source/en/notebooks.md | https://huggingface.co/docs/transformers/en/notebooks/#computer-visionpytorch-cv | .md | | Notebook | Description | ... | 30_4_0 |
/Users/nielsrogge/Documents/python_projecten/transformers/docs/source/en/notebooks.md | https://huggingface.co/docs/transformers/en/notebooks/#computer-visionpytorch-cv | .md | |:---------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:-----------------------------------------------------------------------------------------------------------------------|:------------------------... | 30_4_1 |
/Users/nielsrogge/Documents/python_projecten/transformers/docs/source/en/notebooks.md | https://huggingface.co/docs/transformers/en/notebooks/#computer-visionpytorch-cv | .md | | [How to fine-tune a model on image classification (Torchvision)](https://github.com/huggingface/notebooks/blob/main/examples/image_classification.ipynb) | Show how to preprocess the data using Torchvision and fine-tune any pretrained Vision model on Image Classification | [](https://studiolab.sagemaker.aws/import/github/huggingface/notebooks/blob/main/examples/image_classification.ipynb)| | 30_4_3 |
/Users/nielsrogge/Documents/python_projecten/transformers/docs/source/en/notebooks.md | https://huggingface.co/docs/transformers/en/notebooks/#computer-visionpytorch-cv | .md | | [How to fine-tune a model on image classification (Albumentations)](https://github.com/huggingface/notebooks/blob/main/examples/image_classification_albumentations.ipynb) | Show how to preprocess the data using Albumentations and fine-tune any pretrained Vision model on Image Classification | [](https://studiolab.sagemaker.aws/import/github/huggingface/notebooks/blob/main/examples/image_classification_albumentations.ipynb)| | 30_4_5 |
/Users/nielsrogge/Documents/python_projecten/transformers/docs/source/en/notebooks.md | https://huggingface.co/docs/transformers/en/notebooks/#computer-visionpytorch-cv | .md | | [How to fine-tune a model on image classification (Kornia)](https://github.com/huggingface/notebooks/blob/main/examples/image_classification_kornia.ipynb) | Show how to preprocess the data using Kornia and fine-tune any pretrained Vision model on Image Classification | [](https://studiolab.sagemaker.aws/import/github/huggingface/notebooks/blob/main/examples/image_classification_kornia.ipynb)| | 30_4_7 |
/Users/nielsrogge/Documents/python_projecten/transformers/docs/source/en/notebooks.md | https://huggingface.co/docs/transformers/en/notebooks/#computer-visionpytorch-cv | .md | | [How to perform zero-shot object detection with OWL-ViT](https://github.com/huggingface/notebooks/blob/main/examples/zeroshot_object_detection_with_owlvit.ipynb) | Show how to perform zero-shot object detection on images with text queries | [](https://studiolab.sagemaker.aws/import/github/huggingface/notebooks/blob/main/examples/zeroshot_object_detection_with_owlvit.ipynb)| | 30_4_9 |
/Users/nielsrogge/Documents/python_projecten/transformers/docs/source/en/notebooks.md | https://huggingface.co/docs/transformers/en/notebooks/#computer-visionpytorch-cv | .md | | [How to fine-tune an image captioning model](https://github.com/huggingface/notebooks/blob/main/examples/image_captioning_blip.ipynb) | Show how to fine-tune BLIP for image captioning on a custom dataset | [](https://studiolab.sagemaker.aws/import/github/huggingface/notebooks/blob/main/examples/image_captioning_blip.ipynb)| | 30_4_11 |
/Users/nielsrogge/Documents/python_projecten/transformers/docs/source/en/notebooks.md | https://huggingface.co/docs/transformers/en/notebooks/#computer-visionpytorch-cv | .md | | [How to build an image similarity system with Transformers](https://github.com/huggingface/notebooks/blob/main/examples/image_similarity.ipynb) | Show how to build an image similarity system | [](https://studiolab.sagemaker.aws/import/github/huggingface/notebooks/blob/main/examples/image_similarity.ipynb)| | 30_4_13 |
/Users/nielsrogge/Documents/python_projecten/transformers/docs/source/en/notebooks.md | https://huggingface.co/docs/transformers/en/notebooks/#computer-visionpytorch-cv | .md | | [How to fine-tune a SegFormer model on semantic segmentation](https://github.com/huggingface/notebooks/blob/main/examples/semantic_segmentation.ipynb) | Show how to preprocess the data and fine-tune a pretrained SegFormer model on Semantic Segmentation | [](https://studiolab.sagemaker.aws/import/github/huggingface/notebooks/blob/main/examples/semantic_segmentation.ipynb)| | 30_4_15 |
/Users/nielsrogge/Documents/python_projecten/transformers/docs/source/en/notebooks.md | https://huggingface.co/docs/transformers/en/notebooks/#computer-visionpytorch-cv | .md | | [How to fine-tune a VideoMAE model on video classification](https://github.com/huggingface/notebooks/blob/main/examples/video_classification.ipynb) | Show how to preprocess the data and fine-tune a pretrained VideoMAE model on Video Classification | [](https://studiolab.sagemaker.aws/import/github/huggingface/notebooks/blob/main/examples/video_classification.ipynb)| | 30_4_17 |
/Users/nielsrogge/Documents/python_projecten/transformers/docs/source/en/notebooks.md | https://huggingface.co/docs/transformers/en/notebooks/#audiopytorch-audio | .md | | Notebook | Description | | |
|:----------|:-------------|:-------------|------:| | 30_5_0 |
/Users/nielsrogge/Documents/python_projecten/transformers/docs/source/en/notebooks.md | https://huggingface.co/docs/transformers/en/notebooks/#audiopytorch-audio | .md | | [How to fine-tune a speech recognition model in English](https://github.com/huggingface/notebooks/blob/main/examples/speech_recognition.ipynb)| Show how to preprocess the data and fine-tune a pretrained Speech model on TIMIT | [](https://colab.... | 30_5_1 |
/Users/nielsrogge/Documents/python_projecten/transformers/docs/source/en/notebooks.md | https://huggingface.co/docs/transformers/en/notebooks/#audiopytorch-audio | .md | [](https://studiolab.sagemaker.aws/import/github/huggingface/notebooks/blob/main/examples/speech_recognition.ipynb)| | 30_5_2 |
/Users/nielsrogge/Documents/python_projecten/transformers/docs/source/en/notebooks.md | https://huggingface.co/docs/transformers/en/notebooks/#audiopytorch-audio | .md | | [How to fine-tune a speech recognition model in any language](https://github.com/huggingface/notebooks/blob/main/examples/multi_lingual_speech_recognition.ipynb)| Show how to preprocess the data and fine-tune a multi-lingually pretrained speech model on Common Voice | [](https://studiolab.sagemaker.aws/import/github/huggingface/notebooks/blob/main/examples/multi_lingual_speech_recognition.ipynb)| | 30_5_4 |
/Users/nielsrogge/Documents/python_projecten/transformers/docs/source/en/notebooks.md | https://huggingface.co/docs/transformers/en/notebooks/#audiopytorch-audio | .md | | [How to fine-tune a model on audio classification](https://github.com/huggingface/notebooks/blob/main/examples/audio_classification.ipynb)| Show how to preprocess the data and fine-tune a pretrained Speech model on Keyword Spotting | [](https:/... | 30_5_5 |
/Users/nielsrogge/Documents/python_projecten/transformers/docs/source/en/notebooks.md | https://huggingface.co/docs/transformers/en/notebooks/#audiopytorch-audio | .md | [](https://studiolab.sagemaker.aws/import/github/huggingface/notebooks/blob/main/examples/audio_classification.ipynb)| | 30_5_6 |
/Users/nielsrogge/Documents/python_projecten/transformers/docs/source/en/notebooks.md | https://huggingface.co/docs/transformers/en/notebooks/#biological-sequencespytorch-bio | .md | | Notebook | Description | | |
|:----------|:----------------------------------------------------------------------------------------|:-------------|------:| | 30_6_0 |
/Users/nielsrogge/Documents/python_projecten/transformers/docs/source/en/notebooks.md | https://huggingface.co/docs/transformers/en/notebooks/#biological-sequencespytorch-bio | .md | | [How to fine-tune a pre-trained protein model](https://github.com/huggingface/notebooks/blob/main/examples/protein_language_modeling.ipynb) | See how to tokenize proteins and fine-tune a large pre-trained protein "language" model | [](https://c... | 30_6_1 |
/Users/nielsrogge/Documents/python_projecten/transformers/docs/source/en/notebooks.md | https://huggingface.co/docs/transformers/en/notebooks/#biological-sequencespytorch-bio | .md | | [](https://studiolab.sagemaker.aws/import/github/huggingface/notebooks/blob/main/examples/protein_language_modeling.ipynb) | | 30_6_2 |
/Users/nielsrogge/Documents/python_projecten/transformers/docs/source/en/notebooks.md | https://huggingface.co/docs/transformers/en/notebooks/#biological-sequencespytorch-bio | .md | | [How to generate protein folds](https://github.com/huggingface/notebooks/blob/main/examples/protein_folding.ipynb) | See how to go from protein sequence to a full protein model and PDB file | [](https://colab.research.google.com/... | 30_6_3 |
/Users/nielsrogge/Documents/python_projecten/transformers/docs/source/en/notebooks.md | https://huggingface.co/docs/transformers/en/notebooks/#biological-sequencespytorch-bio | .md | | [](https://studiolab.sagemaker.aws/import/github/huggingface/notebooks/blob/main/examples/protein_folding.ipynb) | | 30_6_4 |
/Users/nielsrogge/Documents/python_projecten/transformers/docs/source/en/notebooks.md | https://huggingface.co/docs/transformers/en/notebooks/#biological-sequencespytorch-bio | .md | | [How to fine-tune a Nucleotide Transformer model](https://github.com/huggingface/notebooks/blob/main/examples/nucleotide_transformer_dna_sequence_modelling.ipynb) | See how to tokenize DNA and fine-tune a large pre-trained DNA "language" model | [](https://studiolab.sagemaker.aws/import/github/huggingface/notebooks/blob/main/examples/nucleotide_transformer_dna_sequence_modelling.ipynb) | | 30_6_6 |
/Users/nielsrogge/Documents/python_projecten/transformers/docs/source/en/notebooks.md | https://huggingface.co/docs/transformers/en/notebooks/#biological-sequencespytorch-bio | .md | | [Fine-tune a Nucleotide Transformer model with LoRA](https://github.com/huggingface/notebooks/blob/main/examples/nucleotide_transformer_dna_sequence_modelling_with_peft.ipynb) | Train even larger DNA models in a memory-efficient way | [](https:... | 30_6_7 |
/Users/nielsrogge/Documents/python_projecten/transformers/docs/source/en/notebooks.md | https://huggingface.co/docs/transformers/en/notebooks/#biological-sequencespytorch-bio | .md | | [](https://studiolab.sagemaker.aws/import/github/huggingface/notebooks/blob/main/examples/nucleotide_transformer_dna_sequence_modelling_with_peft.ipynb) | | 30_6_8 |
/Users/nielsrogge/Documents/python_projecten/transformers/docs/source/en/notebooks.md | https://huggingface.co/docs/transformers/en/notebooks/#other-modalitiespytorch-other | .md | | Notebook | Description | | |
|:----------|:----------------------------------------------------------------------------------------|:-------------|------:| | 30_7_0 |
/Users/nielsrogge/Documents/python_projecten/transformers/docs/source/en/notebooks.md | https://huggingface.co/docs/transformers/en/notebooks/#other-modalitiespytorch-other | .md | | [Probabilistic Time Series Forecasting](https://github.com/huggingface/notebooks/blob/main/examples/time-series-transformers.ipynb) | See how to train Time Series Transformer on a custom dataset | [](https://colab.res... | 30_7_1 |
/Users/nielsrogge/Documents/python_projecten/transformers/docs/source/en/notebooks.md | https://huggingface.co/docs/transformers/en/notebooks/#other-modalitiespytorch-other | .md | | [](https://studiolab.sagemaker.aws/import/github/huggingface/notebooks/blob/main/examples/time-series-transformers.ipynb) | | 30_7_2 |
/Users/nielsrogge/Documents/python_projecten/transformers/docs/source/en/notebooks.md | https://huggingface.co/docs/transformers/en/notebooks/#utility-notebookspytorch-utility | .md | | Notebook | Description | | |
|:----------|:-------------|:-------------|------:| | 30_8_0 |
/Users/nielsrogge/Documents/python_projecten/transformers/docs/source/en/notebooks.md | https://huggingface.co/docs/transformers/en/notebooks/#utility-notebookspytorch-utility | .md | | [How to export model to ONNX](https://github.com/huggingface/notebooks/blob/main/examples/onnx-export.ipynb)| Highlight how to export and run inference workloads through ONNX | [](https://colab.research.google.com/github/huggingface/notebooks/b... | 30_8_1 |
/Users/nielsrogge/Documents/python_projecten/transformers/docs/source/en/notebooks.md | https://huggingface.co/docs/transformers/en/notebooks/#utility-notebookspytorch-utility | .md | [](https://studiolab.sagemaker.aws/import/github/huggingface/notebooks/blob/main/examples/onnx-export.ipynb)| | 30_8_2 |
/Users/nielsrogge/Documents/python_projecten/transformers/docs/source/en/notebooks.md | https://huggingface.co/docs/transformers/en/notebooks/#utility-notebookspytorch-utility | .md | | [How to use Benchmarks](https://github.com/huggingface/notebooks/blob/main/examples/benchmark.ipynb)| How to benchmark models with transformers | [](https://colab.research.google.com/github/huggingface/notebooks/blob/main/examples/benchmark.ipy... | 30_8_3 |
/Users/nielsrogge/Documents/python_projecten/transformers/docs/source/en/notebooks.md | https://huggingface.co/docs/transformers/en/notebooks/#natural-language-processingtensorflow-nlp | .md | | Notebook | Description | | |
|:----------|:-------------|:-------------|------:| | 30_9_0 |
/Users/nielsrogge/Documents/python_projecten/transformers/docs/source/en/notebooks.md | https://huggingface.co/docs/transformers/en/notebooks/#natural-language-processingtensorflow-nlp | .md | | [Train your tokenizer](https://github.com/huggingface/notebooks/blob/main/examples/tokenizer_training.ipynb) | How to train and use your very own tokenizer |[](https://colab.research.google.com/github/huggingface/notebooks/blob/main/examples/... | 30_9_1 |
/Users/nielsrogge/Documents/python_projecten/transformers/docs/source/en/notebooks.md | https://huggingface.co/docs/transformers/en/notebooks/#natural-language-processingtensorflow-nlp | .md | [](https://studiolab.sagemaker.aws/import/github/huggingface/notebooks/blob/main/examples/tokenizer_training.ipynb)| | 30_9_2 |
/Users/nielsrogge/Documents/python_projecten/transformers/docs/source/en/notebooks.md | https://huggingface.co/docs/transformers/en/notebooks/#natural-language-processingtensorflow-nlp | .md | | [Train your language model](https://github.com/huggingface/notebooks/blob/main/examples/language_modeling_from_scratch-tf.ipynb) | How to easily start using transformers |[](https://colab.research.google.com/github/huggingface/notebooks/blob... | 30_9_3 |
/Users/nielsrogge/Documents/python_projecten/transformers/docs/source/en/notebooks.md | https://huggingface.co/docs/transformers/en/notebooks/#natural-language-processingtensorflow-nlp | .md | [](https://studiolab.sagemaker.aws/import/github/huggingface/notebooks/blob/main/examples/language_modeling_from_scratch-tf.ipynb)| | 30_9_4 |
/Users/nielsrogge/Documents/python_projecten/transformers/docs/source/en/notebooks.md | https://huggingface.co/docs/transformers/en/notebooks/#natural-language-processingtensorflow-nlp | .md | | [How to fine-tune a model on text classification](https://github.com/huggingface/notebooks/blob/main/examples/text_classification-tf.ipynb)| Show how to preprocess the data and fine-tune a pretrained model on any GLUE task. | [](https://colab.r... | 30_9_5 |
/Users/nielsrogge/Documents/python_projecten/transformers/docs/source/en/notebooks.md | https://huggingface.co/docs/transformers/en/notebooks/#natural-language-processingtensorflow-nlp | .md | [](https://studiolab.sagemaker.aws/import/github/huggingface/notebooks/blob/main/examples/text_classification-tf.ipynb)| | 30_9_6 |
/Users/nielsrogge/Documents/python_projecten/transformers/docs/source/en/notebooks.md | https://huggingface.co/docs/transformers/en/notebooks/#natural-language-processingtensorflow-nlp | .md | | [How to fine-tune a model on language modeling](https://github.com/huggingface/notebooks/blob/main/examples/language_modeling-tf.ipynb)| Show how to preprocess the data and fine-tune a pretrained model on a causal or masked LM task. | [](https:... | 30_9_7 |
/Users/nielsrogge/Documents/python_projecten/transformers/docs/source/en/notebooks.md | https://huggingface.co/docs/transformers/en/notebooks/#natural-language-processingtensorflow-nlp | .md | [](https://studiolab.sagemaker.aws/import/github/huggingface/notebooks/blob/main/examples/language_modeling-tf.ipynb)| | 30_9_8 |
/Users/nielsrogge/Documents/python_projecten/transformers/docs/source/en/notebooks.md | https://huggingface.co/docs/transformers/en/notebooks/#natural-language-processingtensorflow-nlp | .md | | [How to fine-tune a model on token classification](https://github.com/huggingface/notebooks/blob/main/examples/token_classification-tf.ipynb)| Show how to preprocess the data and fine-tune a pretrained model on a token classification task (NER, PoS). | [](https://studiolab.sagemaker.aws/import/github/huggingface/notebooks/blob/main/examples/token_classification-tf.ipynb)| | 30_9_10 |
/Users/nielsrogge/Documents/python_projecten/transformers/docs/source/en/notebooks.md | https://huggingface.co/docs/transformers/en/notebooks/#natural-language-processingtensorflow-nlp | .md | | [How to fine-tune a model on question answering](https://github.com/huggingface/notebooks/blob/main/examples/question_answering-tf.ipynb)| Show how to preprocess the data and fine-tune a pretrained model on SQUAD. | [](https://colab.research.go... | 30_9_11 |
/Users/nielsrogge/Documents/python_projecten/transformers/docs/source/en/notebooks.md | https://huggingface.co/docs/transformers/en/notebooks/#natural-language-processingtensorflow-nlp | .md | [](https://studiolab.sagemaker.aws/import/github/huggingface/notebooks/blob/main/examples/question_answering-tf.ipynb)| | 30_9_12 |
/Users/nielsrogge/Documents/python_projecten/transformers/docs/source/en/notebooks.md | https://huggingface.co/docs/transformers/en/notebooks/#natural-language-processingtensorflow-nlp | .md | | [How to fine-tune a model on multiple choice](https://github.com/huggingface/notebooks/blob/main/examples/multiple_choice-tf.ipynb)| Show how to preprocess the data and fine-tune a pretrained model on SWAG. | [](https://colab.research.google.co... | 30_9_13 |
/Users/nielsrogge/Documents/python_projecten/transformers/docs/source/en/notebooks.md | https://huggingface.co/docs/transformers/en/notebooks/#natural-language-processingtensorflow-nlp | .md | [](https://studiolab.sagemaker.aws/import/github/huggingface/notebooks/blob/main/examples/multiple_choice-tf.ipynb)| | 30_9_14 |
/Users/nielsrogge/Documents/python_projecten/transformers/docs/source/en/notebooks.md | https://huggingface.co/docs/transformers/en/notebooks/#natural-language-processingtensorflow-nlp | .md | | [How to fine-tune a model on translation](https://github.com/huggingface/notebooks/blob/main/examples/translation-tf.ipynb)| Show how to preprocess the data and fine-tune a pretrained model on WMT. | [](https://colab.research.google.com/github/... | 30_9_15 |
/Users/nielsrogge/Documents/python_projecten/transformers/docs/source/en/notebooks.md | https://huggingface.co/docs/transformers/en/notebooks/#natural-language-processingtensorflow-nlp | .md | [](https://studiolab.sagemaker.aws/import/github/huggingface/notebooks/blob/main/examples/translation-tf.ipynb)| | 30_9_16 |
/Users/nielsrogge/Documents/python_projecten/transformers/docs/source/en/notebooks.md | https://huggingface.co/docs/transformers/en/notebooks/#natural-language-processingtensorflow-nlp | .md | | [How to fine-tune a model on summarization](https://github.com/huggingface/notebooks/blob/main/examples/summarization-tf.ipynb)| Show how to preprocess the data and fine-tune a pretrained model on XSUM. | [](https://colab.research.google.com/gi... | 30_9_17 |
/Users/nielsrogge/Documents/python_projecten/transformers/docs/source/en/notebooks.md | https://huggingface.co/docs/transformers/en/notebooks/#natural-language-processingtensorflow-nlp | .md | [](https://studiolab.sagemaker.aws/import/github/huggingface/notebooks/blob/main/examples/summarization-tf.ipynb)| | 30_9_18 |
/Users/nielsrogge/Documents/python_projecten/transformers/docs/source/en/notebooks.md | https://huggingface.co/docs/transformers/en/notebooks/#computer-visiontensorflow-cv | .md | | Notebook | Description | | | | 30_10_0 |
/Users/nielsrogge/Documents/python_projecten/transformers/docs/source/en/notebooks.md | https://huggingface.co/docs/transformers/en/notebooks/#computer-visiontensorflow-cv | .md | |:---------------------------------------------------------------------------------------------------------------------------------------------------------|:----------------------------------------------------------------------------------------------------|:-------------|------:| | 30_10_1 |
/Users/nielsrogge/Documents/python_projecten/transformers/docs/source/en/notebooks.md | https://huggingface.co/docs/transformers/en/notebooks/#computer-visiontensorflow-cv | .md | | [How to fine-tune a model on image classification](https://github.com/huggingface/notebooks/blob/main/examples/image_classification-tf.ipynb) | Show how to preprocess the data and fine-tune any pretrained Vision model on Image Classification | [](https://studiolab.sagemaker.aws/import/github/huggingface/notebooks/blob/main/examples/image_classification-tf.ipynb)| | 30_10_3 |
/Users/nielsrogge/Documents/python_projecten/transformers/docs/source/en/notebooks.md | https://huggingface.co/docs/transformers/en/notebooks/#computer-visiontensorflow-cv | .md | | [How to fine-tune a SegFormer model on semantic segmentation](https://github.com/huggingface/notebooks/blob/main/examples/semantic_segmentation-tf.ipynb) | Show how to preprocess the data and fine-tune a pretrained SegFormer model on Semantic Segmentation | [](https://studiolab.sagemaker.aws/import/github/huggingface/notebooks/blob/main/examples/semantic_segmentation-tf.ipynb)| | 30_10_5 |
/Users/nielsrogge/Documents/python_projecten/transformers/docs/source/en/notebooks.md | https://huggingface.co/docs/transformers/en/notebooks/#biological-sequencestensorflow-bio | .md | | Notebook | Description | | |
|:----------|:-------------|:-------------|------:| | 30_11_0 |
/Users/nielsrogge/Documents/python_projecten/transformers/docs/source/en/notebooks.md | https://huggingface.co/docs/transformers/en/notebooks/#biological-sequencestensorflow-bio | .md | | [How to fine-tune a pre-trained protein model](https://github.com/huggingface/notebooks/blob/main/examples/protein_language_modeling-tf.ipynb) | See how to tokenize proteins and fine-tune a large pre-trained protein "language" model | [](https:... | 30_11_1 |
/Users/nielsrogge/Documents/python_projecten/transformers/docs/source/en/notebooks.md | https://huggingface.co/docs/transformers/en/notebooks/#biological-sequencestensorflow-bio | .md | | [](https://studiolab.sagemaker.aws/import/github/huggingface/notebooks/blob/main/examples/protein_language_modeling-tf.ipynb) | | 30_11_2 |
/Users/nielsrogge/Documents/python_projecten/transformers/docs/source/en/notebooks.md | https://huggingface.co/docs/transformers/en/notebooks/#utility-notebookstensorflow-utility | .md | | Notebook | Description | | |
|:----------|:-------------|:-------------|------:| | 30_12_0 |
/Users/nielsrogge/Documents/python_projecten/transformers/docs/source/en/notebooks.md | https://huggingface.co/docs/transformers/en/notebooks/#utility-notebookstensorflow-utility | .md | | [How to train TF/Keras models on TPU](https://github.com/huggingface/notebooks/blob/main/examples/tpu_training-tf.ipynb) | See how to train at high speed on Google's TPU hardware | [](https://colab.research.google.com/github/huggingface/noteboo... | 30_12_1 |
/Users/nielsrogge/Documents/python_projecten/transformers/docs/source/en/notebooks.md | https://huggingface.co/docs/transformers/en/notebooks/#utility-notebookstensorflow-utility | .md | | [](https://studiolab.sagemaker.aws/import/github/huggingface/notebooks/blob/main/examples/tpu_training-tf.ipynb) | | 30_12_2 |
/Users/nielsrogge/Documents/python_projecten/transformers/docs/source/en/notebooks.md | https://huggingface.co/docs/transformers/en/notebooks/#optimum-notebooks | .md | 🤗 [Optimum](https://github.com/huggingface/optimum) is an extension of 🤗 Transformers, providing a set of performance optimization tools enabling maximum efficiency to train and run models on targeted hardwares.
| Notebook | Description | | |
|:----------|:-------------|:-------------|------:| | 30_13_0 |
/Users/nielsrogge/Documents/python_projecten/transformers/docs/source/en/notebooks.md | https://huggingface.co/docs/transformers/en/notebooks/#optimum-notebooks | .md | | [How to quantize a model with ONNX Runtime for text classification](https://github.com/huggingface/notebooks/blob/main/examples/text_classification_quantization_ort.ipynb)| Show how to apply static and dynamic quantization on a model using [ONNX Runtime](https://github.com/microsoft/onnxruntime) for any GLUE task. | ... | 30_13_1 |
/Users/nielsrogge/Documents/python_projecten/transformers/docs/source/en/notebooks.md | https://huggingface.co/docs/transformers/en/notebooks/#optimum-notebooks | .md | dynamic quantization on a model using [ONNX Runtime](https://github.com/microsoft/onnxruntime) for any GLUE task. | [](https://colab.research.google.com/github/huggingface/notebooks/blob/main/examples/text_classification_quantization_ort.ipynb)| ... | 30_13_2 |
/Users/nielsrogge/Documents/python_projecten/transformers/docs/source/en/notebooks.md | https://huggingface.co/docs/transformers/en/notebooks/#optimum-notebooks | .md | [](https://studiolab.sagemaker.aws/import/github/huggingface/notebooks/blob/main/examples/text_classification_quantization_ort.ipynb)| | 30_13_3 |
/Users/nielsrogge/Documents/python_projecten/transformers/docs/source/en/notebooks.md | https://huggingface.co/docs/transformers/en/notebooks/#optimum-notebooks | .md | | [How to quantize a model with Intel Neural Compressor for text classification](https://github.com/huggingface/notebooks/blob/main/examples/text_classification_quantization_inc.ipynb)| Show how to apply static, dynamic and aware training quantization on a model using [Intel Neural Compressor (INC)](https://github.com/... | 30_13_4 |
/Users/nielsrogge/Documents/python_projecten/transformers/docs/source/en/notebooks.md | https://huggingface.co/docs/transformers/en/notebooks/#optimum-notebooks | .md | on a model using [Intel Neural Compressor (INC)](https://github.com/intel/neural-compressor) for any GLUE task. | [](https://colab.research.google.com/github/huggingface/notebooks/blob/main/examples/text_classification_quantization_inc.ipynb)| [!... | 30_13_5 |
/Users/nielsrogge/Documents/python_projecten/transformers/docs/source/en/notebooks.md | https://huggingface.co/docs/transformers/en/notebooks/#optimum-notebooks | .md | [](https://studiolab.sagemaker.aws/import/github/huggingface/notebooks/blob/main/examples/text_classification_quantization_inc.ipynb)| | 30_13_6 |
/Users/nielsrogge/Documents/python_projecten/transformers/docs/source/en/notebooks.md | https://huggingface.co/docs/transformers/en/notebooks/#optimum-notebooks | .md | | [How to fine-tune a model on text classification with ONNX Runtime](https://github.com/huggingface/notebooks/blob/main/examples/text_classification_ort.ipynb)| Show how to preprocess the data and fine-tune a model on any GLUE task using [ONNX Runtime](https://github.com/microsoft/onnxruntime). | [](https://studiolab.sagemaker.aws/import/github/huggingface/notebooks/blob/main/examples/text_classification_ort.ipynb)| | 30_13_8 |
/Users/nielsrogge/Documents/python_projecten/transformers/docs/source/en/notebooks.md | https://huggingface.co/docs/transformers/en/notebooks/#optimum-notebooks | .md | | [How to fine-tune a model on summarization with ONNX Runtime](https://github.com/huggingface/notebooks/blob/main/examples/summarization_ort.ipynb)| Show how to preprocess the data and fine-tune a model on XSUM using [ONNX Runtime](https://github.com/microsoft/onnxruntime). | [](https://studiolab.sagemaker.aws/import/github/huggingface/notebooks/blob/main/examples/summarization_ort.ipynb)| | 30_13_10 |
/Users/nielsrogge/Documents/python_projecten/transformers/docs/source/en/notebooks.md | https://huggingface.co/docs/transformers/en/notebooks/#community-notebooks | .md | More notebooks developed by the community are available [here](https://hf.co/docs/transformers/community#community-notebooks). | 30_14_0 |
/Users/nielsrogge/Documents/python_projecten/transformers/docs/source/en/testing.md | https://huggingface.co/docs/transformers/en/testing/ | .md | <!--Copyright 2020 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agr... | 31_0_0 |
/Users/nielsrogge/Documents/python_projecten/transformers/docs/source/en/testing.md | https://huggingface.co/docs/transformers/en/testing/ | .md | an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the
specific language governing permissions and limitations under the License.
⚠️ Note that this file is in Markdown but contain specific syntax for our doc-builder (similar to MDX) that may not be
rendered ... | 31_0_1 |
/Users/nielsrogge/Documents/python_projecten/transformers/docs/source/en/testing.md | https://huggingface.co/docs/transformers/en/testing/#testing | .md | Let's take a look at how 🤗 Transformers models are tested and how you can write new tests and improve the existing ones.
There are 2 test suites in the repository:
1. `tests` -- tests for the general API
2. `examples` -- tests primarily for various applications that aren't part of the API | 31_1_0 |
/Users/nielsrogge/Documents/python_projecten/transformers/docs/source/en/testing.md | https://huggingface.co/docs/transformers/en/testing/#how-transformers-are-tested | .md | 1. Once a PR is submitted it gets tested with 9 CircleCi jobs. Every new commit to that PR gets retested. These jobs
are defined in this [config file](https://github.com/huggingface/transformers/tree/main/.circleci/config.yml), so that if needed you can reproduce the same
environment on your machine.
These CI jobs do... | 31_2_0 |
/Users/nielsrogge/Documents/python_projecten/transformers/docs/source/en/testing.md | https://huggingface.co/docs/transformers/en/testing/#how-transformers-are-tested | .md | 2. There are 3 jobs run by [github actions](https://github.com/huggingface/transformers/actions):
- [torch hub integration](https://github.com/huggingface/transformers/tree/main/.github/workflows/github-torch-hub.yml): checks whether torch hub
integration works.
- [self-hosted (push)](https://github.com/huggingface... | 31_2_1 |
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