Feature Extraction
Transformers
Safetensors
fast_esmfold
protein-language-model
fastplms
custom_code
Instructions to use Synthyra/FastESMFold with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Synthyra/FastESMFold with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Synthyra/FastESMFold", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Synthyra/FastESMFold", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Upload LICENSE with huggingface_hub
Verified signature16de5ce -
Upload entrypoint_setup.py with huggingface_hub
Verified signaturea25f910 -
Upload embedding_mixin.py with huggingface_hub
Verified signature9781beb -
Upload modeling_fast_esmfold.py with huggingface_hub
Verified signaturebc7152f -
Upload modeling_fast_esmfold.py with huggingface_hub
Verified signaturecacf282 -
Upload modeling_fast_esmfold.py with huggingface_hub
Verified signature1050cef -
Upload modeling_fast_esmfold.py with huggingface_hub
Verified signatureea6dd9b -
Upload FastEsmForProteinFolding
Verified signatureb84f03a -
Upload tokenizer
Verified signature15db44a -
initial commit
Verified signatureaa978ae