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Author:
Xiangzhuang Shen
Summary:
Implementing classic NLP models from scratch.
Latest version:
0.3.0
Required dependencies:
datasets
|
evaluate
|
huggingface-hub
|
numpy
|
pyyaml
|
safetensors
|
tokenizers
|
torch
|
tyro
|
wandb
Optional dependencies:
hypothesis
|
ipython
|
ipywidgets
|
jupyterlab
|
marimo
|
matplotlib
|
mkdocs
|
mkdocs-autorefs
|
mkdocs-bibtex
|
mkdocs-git-committers-plugin-2
|
mkdocs-git-revision-date-localized-plugin
|
mkdocs-material
|
mkdocs-material-extensions
|
mkdocstrings
|
mkdocstrings-python
|
mypy
|
pre-commit
|
pytest
|
pytest-cov
|
pytest-sugar
|
ruff
|
scikit-learn
|
seaborn
|
transformers
|
types-pyyaml
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