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Ryan Kim
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readme updated with new info
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README.md
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## Milestone 3
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Click the link to access the HuggingFace Streamlit application:
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[Project webpage](https://huggingface.co/spaces/rk2546/
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---
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## Milestone 2
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Click the link to access the HuggingFace Streamlit application:
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[Project webpage](https://huggingface.co/spaces/rk2546/
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## Milestone 3
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Click the link to access the HuggingFace Streamlit application:
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[Project webpage](https://huggingface.co/spaces/rk2546/csgy-6613-project-rk2546).
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_The HuggingFace page includes the ability to check Milestone #2 as well._
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The fine-tuned models have been uploaded as HuggingFace models, public and open for anyone to use. You can find and use them here:
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- [https://huggingface.co/rk2546/uspto-patents-abstracts](https://huggingface.co/rk2546/uspto-patents-abstracts)
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- Purpose: Primary purpose is to evaluate whether a patent will be accepted or rejected. Trained from patent abstracts from the USPTO database.
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- Model Name: `rk2546/uspto-patents-abstracts`
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- [https://huggingface.co/rk2546/uspto-patents-claims/tree/main](https://huggingface.co/rk2546/uspto-patents-claims/tree/main)
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- Purpose: Primary purpose is to evaluate whether a patent will be accepted or rejected. Trained from patent claims from the USPTO database.
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- Model Name: `rk2546/uspto-patents-claims`
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Milestone #3's implementation performs a softmax evaluation using both models, then combines the responses based on a weight parameter. The weight parameter is adjustable in the HuggingFace application interface. By default, the output from the Claims model is weighed heavier (75%) over the Abstracts model (25%).
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## Milestone 2
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Click the link to access the HuggingFace Streamlit application:
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[Project webpage](https://huggingface.co/spaces/rk2546/csgy-6613-project-rk2546)
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