notebooks
Jupyter notebooks for the Natural Language Processing with Transformers book
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Download Latest Version (.zip)- bug_report.md
- question-about-the-book.md
- github-issues-transformers.jsonl
- book_cover.jpg
- chapter01_enc-dec-attn.png
- chapter01_enc-dec.png
- chapter01_hf-ecosystem.png
- chapter01_hub-model-card.png
- chapter01_hub-overview.png
- chapter01_rnn.png
- chapter01_self-attention.png
- chapter01_timeline.png
- chapter01_transfer-learning.png
- chapter01_ulmfit.png
- chapter02_attention-alignment.png
- chapter02_attention-mask.png
- chapter02_encoder-classifier.png
- chapter02_encoder-feature-based.png
- chapter02_encoder-fine-tuning.png
- chapter02_hf-libraries.png
- chapter02_transformers-compact.html
- chapter02_transformers.html
- chapter02_transformers.png
- chapter02_tweet.png
- chapter03_attention-ops.png
- chapter03_contextualized-embedding.png
- chapter03_decoder-zoom.png
- chapter03_encoder-zoom.png
- chapter03_layer-norm.png
- chapter03_multihead-attention.png
- chapter03_transformer-encoder-decoder.png
- chapter03_transformers-compact.png
- chapter04_bert-body-head.png
- chapter04_clf-architecture.png
- chapter04_ner-architecture.png
- chapter04_ner-widget.png
- chapter04_tokenizer-pipeline.png
- chapter05_beam-search.png
- chapter05_lm-meta-learning.png
- chapter05_meena.png
- chapter05_text-generation.png
- chapter07_dpr.png
- chapter07_marie-curie.png
- chapter07_phone.png
- chapter07_qa-head.png
- chapter07_qa-pyramid.png
- chapter07_rag-architecture.png
- chapter07_retriever-reader.png
- chapter07_sliding-window.png
- chapter07_squad-models.png
- chapter07_squad-schema.png
- chapter07_squad-sota.png
- chapter08_bert-onnx.png
- chapter08_fp32-to-int8.png
- chapter08_kd.png
- chapter08_magnitude-vs-movement.png
- chapter08_network-pruning.png
- chapter08_onnx-ort.png
- chapter08_oos.png
- chapter08_pegasus.png
- chapter08_pruning-dists.png
- chapter08_roblox.png
- chapter08_soft-probs.png
- chapter08_t5.png
- chapter09_decision-tree.png
- chapter09_faiss-index.png
- chapter09_issue-example-v2.png
- chapter09_nearest-neighbours.png
- chapter09_uda.png
- chapter09_ust.png
- chapter10_code-snippet.png
- chapter10_ddp.png
- chapter10_preprocessing-clm.png
- chapter10_pretraining-clm.png
- chapter10_pretraining-mlm.png
- chapter10_pretraining-seq2seq.png
- chapter11_atomic-sparse-attention.png
- chapter11_clip-arch.png
- chapter11_compound-sparse-attention.png
- chapter11_dall-e.png
- chapter11_efficient-attention.png
- chapter11_iGPT.png
- chapter11_layoutlm.png
- chapter11_linear-attention.png
- chapter11_scaling-modal.png
- chapter11_scaling.png
- chapter11_table-qa.png
- chapter11_tapas-architecture.png
- chapter11_vit-architecture.png
- chapter11_vqa.png
- chapter11_wav2vec-u.png
- chapter11_wav2vec2.png
- doge.jpg
- optimusprime.jpg
- git_repo.png
- iam_role.png
- notebook_config.png
- 02_classification_train.py
- 01_introduction.ipynb
- 02_classification.ipynb
- README.md
- utils.py
- create_notebook_table.py
- .gitignore
- 01_introduction.ipynb
- 02_classification.ipynb
- 03_transformer-anatomy.ipynb
- 04_multilingual-ner.ipynb
- 05_text-generation.ipynb
- 06_summarization.ipynb
- 07_question-answering.ipynb
- 07_question_answering_v2.ipynb
- 08_model-compression.ipynb
- 09_few-to-no-labels.ipynb
- 10_transformers-from-scratch.ipynb
- 11_future-directions.ipynb
- environment-chapter7.yml
- environment.yml
- install.py
- LICENSE
- plotting.mplstyle
- README.md
- requirements-chapter7-v2.txt
- requirements-chapter7.txt
- requirements.txt
- settings.ini
- utils.py
# Installation Guide
1. Get the code
git clone https://github.com/nlp-with-transformers/notebooks
Downloads the entire project code from GitHub to your computer.
cd notebooks
Moves into the project folder you just downloaded.
2. Python
Easy RecommendedPrerequisites
$ jupyter notebook
Type this command into your terminal and run it.
If it runs without errors and prints output in the terminal, it worked.
Pulled directly from this repo's README.
// repository documentation
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