Instructions to use westlake-repl/SaProt_650M_AF2_inverse_folding with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use westlake-repl/SaProt_650M_AF2_inverse_folding with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="westlake-repl/SaProt_650M_AF2_inverse_folding")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("westlake-repl/SaProt_650M_AF2_inverse_folding") model = AutoModelForMaskedLM.from_pretrained("westlake-repl/SaProt_650M_AF2_inverse_folding") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#3 opened over 1 year ago
by
SFconvertbot
Adding `safetensors` variant of this model
#2 opened over 1 year ago
by
SFconvertbot
PDB requested to start inverse folding
7
#1 opened almost 2 years ago
by
sblimay