Fill-Mask
Transformers
Safetensors
ESMplusplus
biology
esm
protein
protein-language-model
masked-language-modeling
custom_code
Instructions to use Synthyra/ESMplusplus_6B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Synthyra/ESMplusplus_6B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Synthyra/ESMplusplus_6B", trust_remote_code=True)# Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("Synthyra/ESMplusplus_6B", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
Upload config
Browse files- README.md +5 -5
- config.json +0 -1
README.md
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library_name: transformers
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tags:
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# ESM++ 6B
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library_name: transformers
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tags:
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- biology
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- esm
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- protein
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- protein-language-model
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# ESM++ 6B
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config.json
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"AutoModelForTokenClassification": "modeling_esm_plusplus.ESMplusplusForTokenClassification"
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},
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"dropout": 0.0,
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"dtype": "float32",
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"hidden_size": 2560,
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"initializer_range": 0.02,
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"model_type": "ESMplusplus",
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"AutoModelForTokenClassification": "modeling_esm_plusplus.ESMplusplusForTokenClassification"
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},
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"dropout": 0.0,
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"hidden_size": 2560,
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"initializer_range": 0.02,
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"model_type": "ESMplusplus",
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