Instructions to use uripper/HESS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use uripper/HESS with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="uripper/HESS")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("uripper/HESS") model = AutoModelForMaskedLM.from_pretrained("uripper/HESS") - Notebooks
- Google Colab
- Kaggle
Kevin Ripper commited on
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license: cc
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license: cc
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- text: "TimeControl: Blitz, BlackElo: 1200, WhiteElo: 1320, Moves: Moves"
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example_title: "Parasite"
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- text: "Movie: Come and See Score:"
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example_title: "Come and See"
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- text: "Movie: Harakiri Score:"
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example_title: "Harakiri"
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