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
How to generate more models for a single protein
#8 opened 7 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 about 3 years ago
by
Jung