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 many parameters of this model?
#1
by Jung - opened
I saw the pytorch weight file size 8.44GB which is less than ESM-3B but also significantly more than ESM-650M,
so how many parameters of ESMFold (v1) ?