Fill-Mask
Transformers
Safetensors
English
esmc
biology
esm
protein
protein-language-model
protein-embeddings
masked-language-modeling
transfer-learning
variant-effect-prediction
protein-engineering
Instructions to use biohub/ESMC-6B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use biohub/ESMC-6B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="biohub/ESMC-6B")# Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("biohub/ESMC-6B", dtype="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "architectures": [ | |
| "ESMCForMaskedLM" | |
| ], | |
| "classifier_dropout": 0.1, | |
| "d_model": 2560, | |
| "dtype": "float32", | |
| "initializer_range": 0.02, | |
| "mask_token_id": 32, | |
| "model_type": "esmc", | |
| "n_heads": 40, | |
| "n_layers": 80, | |
| "pad_token_id": 1, | |
| "tie_word_embeddings": false, | |
| "transformers_version": "4.57.6", | |
| "vocab_size": 64 | |
| } | |