Instructions to use Synthyra/ESMplusplus_large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Synthyra/ESMplusplus_large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Synthyra/ESMplusplus_large", trust_remote_code=True)# Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("Synthyra/ESMplusplus_large", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
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README.md
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If you use any of this implementation or work please cite it (as well as the ESMC preprint).
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@misc {
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```
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If you use any of this implementation or work please cite it (as well as the ESMC preprint).
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@misc {ESM++,
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author = { Hallee, Logan and Bichara, David and Gleghorn, Jason P.},
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title = { ESM++: Efficient and Hugging Face compatible versions of the ESM Cambrian models},
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year = {2024},
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url = { https://huggingface.co/Synthyra/ESMplusplus_small },
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DOI = { 10.57967/hf/3726 },
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publisher = { Hugging Face }
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}
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```
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