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  1. README.md +25 -6
  2. model.pkl +3 -0
  3. pyproject.toml +3 -0
README.md CHANGED
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- license: gpl-2.0
 
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- math_text_tag_categorization model
 
 
 
 
 
 
 
 
 
 
 
 
 
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- math_text_tag_categorization is a multi-label text classification model. It was trained via the ULMFiT approach (cf. [The fastai book](https://github.com/fastai/fastbook)'s presentation of ULMFiT) - the author of this repository fine-tuned a language model available in [fast.ai](https://github.com/fastai) on a corpus of mathematical text in LaTeX, then fine-tuned the encoder obtained from the fine-tuned language model for a multi-label classification.
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- # Intended uses & limitations
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- This model is
 
 
 
 
 
 
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- TODO
 
 
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+ tags:
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+ - fastai
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+ # Amazing!
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+ 🥳 Congratulations on hosting your fastai model on the Hugging Face Hub!
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+ # Some next steps
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+ 1. Fill out this model card with more information (see the template below and the [documentation here](https://huggingface.co/docs/hub/model-repos))!
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+ 2. Create a demo in Gradio or Streamlit using 🤗 Spaces ([documentation here](https://huggingface.co/docs/hub/spaces)).
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+ 3. Join the fastai community on the [Fastai Discord](https://discord.com/invite/YKrxeNn)!
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+ Greetings fellow fastlearner 🤝! Don't forget to delete this content from your model card.
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  ---
 
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+ # Model card
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+ ## Model description
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+ More information needed
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+ ## Intended uses & limitations
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+ More information needed
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+ ## Training and evaluation data
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+ More information needed
model.pkl ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:b4b3eb7007440cc946ca872887f5f99c957d4e95573efc43d7196a5136b02f68
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+ size 188960371
pyproject.toml ADDED
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+ [build-system]
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+ requires = ["setuptools>=40.8.0", "wheel", "python=3.10.6", "fastai=2.7.9", "fastcore=1.5.22"]
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+ build-backend = "setuptools.build_meta:__legacy__"