Fill-Mask
Transformers
Safetensors
English
esmc
biology
esm
protein
protein-language-model
protein-embeddings
masked-language-modeling
transfer-learning
variant-effect-prediction
protein-engineering
custom_code
Instructions to use BioJazz-Lab/ESMC-6B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BioJazz-Lab/ESMC-6B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="BioJazz-Lab/ESMC-6B", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("BioJazz-Lab/ESMC-6B", trust_remote_code=True) model = AutoModelForMaskedLM.from_pretrained("BioJazz-Lab/ESMC-6B", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 327 Bytes
30a5676 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 | {
"backend": "tokenizers",
"bos_token": "<cls>",
"chain_break_token": "|",
"cls_token": "<cls>",
"eos_token": "<eos>",
"extra_special_tokens": {},
"mask_token": "<mask>",
"model_max_length": 1000000000000000019884624838656,
"pad_token": "<pad>",
"tokenizer_class": "EsmcTokenizer",
"unk_token": "<unk>"
}
|