Instructions to use lmedeirosUI/MatStat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastai
How to use lmedeirosUI/MatStat with fastai:
from huggingface_hub import from_pretrained_fastai learn = from_pretrained_fastai("lmedeirosUI/MatStat") - Notebooks
- Google Colab
- Kaggle
Push FastAI model using huggingface_hub.
Browse files
README.md
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---
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tags:
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- fastai
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- biology
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- fish
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- maturationstatus
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license: mit
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language:
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- en
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base_model:
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- microsoft/resnet-50
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# Model card
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## Model description
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## Intended uses & limitations
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## Training and evaluation data
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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
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model.pkl
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size
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version https://git-lfs.github.com/spec/v1
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size 102855855
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