Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing

  • Log In
  • Sign Up

facebook
/
esmfold_v1

Transformers
PyTorch
esm
Model card Files Files and versions
xet
Community
8

Instructions to use facebook/esmfold_v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use facebook/esmfold_v1 with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, EsmForProteinFolding
    
    tokenizer = AutoTokenizer.from_pretrained("facebook/esmfold_v1")
    model = EsmForProteinFolding.from_pretrained("facebook/esmfold_v1")
  • Notebooks
  • Google Colab
  • Kaggle
New discussion
Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

How to generate more models for a single protein

#8 opened 6 months ago by
Luqiutong

15B model version

#7 opened about 1 year ago by
ericmjl

Adding `safetensors` variant of this model

#6 opened over 1 year ago by
SFconvertbot

['esm.contact_head.regression.weight', 'esm.contact_head.regression.bias'] of EsmForProteinFolding were not initialized from the model checkpoint

1
#5 opened almost 2 years ago by
icyLu

Adding `safetensors` variant of this model

#4 opened about 2 years ago by
SFconvertbot

Why is the special token for padding `A` in `special_tokens_map.json`?

#3 opened over 2 years ago by
ardhe-qb

Complexes modeling

1
#2 opened over 2 years ago by
stolosa

How many parameters of this model?

1
#1 opened almost 3 years ago by
Jung
Company
TOS Privacy About Careers
Website
Models Datasets Spaces Pricing Docs