Instructions to use Synthyra/ESMFold2-Fast with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Synthyra/ESMFold2-Fast with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Synthyra/ESMFold2-Fast", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Synthyra/ESMFold2-Fast", trust_remote_code=True) model = AutoModel.from_pretrained("Synthyra/ESMFold2-Fast", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
10 days ago
-
Update FastPLMs files from Synthyra/FastPLMs 32d9951 (PR 52: ESMFold2 noise cap, DPLM2 parity)
Verified signature024d9ea
20 days ago
-
Accept huggingface_hub's shared Xet blob store in the CCD loader (FastPLMs PR 51)
Verified signature5c7ce62
27 days ago
-
Support verified live v2 confidence heads
Verified signature121842a -
Apply coding standards from 1cb5747 (files only)
Verified signature7b9689e -
Update FastPLMs runtime and cards from 328deef (files only)
Verified signatureac48fbd
-
Update FastPLMs runtime and model cards
Verified signature2b49d4e
-
Update FastPLMs files
Verified signature7e22b0b
-
Update FastPLMs files
Verified signature77a9c3b
-
Update FastPLMs files
Verified signaturee1f5b73
-
Fix ESMFold2 prepared feature forwarding
Verified signatureAdd-only FastPLMs files-only publication. Checkpoint weights and complete-artifact attestations are unchanged.f1ba145
-
Update FastPLMs runtime and model cards
Verified signatureAdd-only FastPLMs files-only publication. Checkpoint weights and complete-artifact attestations are unchanged.4f3614e
-
Update FastPLMs runtime files
Verified signatureAdd-only FastPLMs files-only publication. Checkpoint weights and complete-artifact attestations are unchanged.6cc35b0