Instructions to use Synthyra/ESMFold2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Synthyra/ESMFold2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Synthyra/ESMFold2", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Synthyra/ESMFold2", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 446 Bytes
59abcec | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 | # Direct runtime dependencies for Synthyra/ESMFold2. # FastPLMs source is embedded in this model repository. torch>=2.13,<2.14 transformers>=5.13,<5.14 huggingface-hub>=0.34,<2 tokenizers>=0.22,<0.23 safetensors>=0.5,<1 numpy>=1.26,<3 einops>=0.8,<1 tqdm>=4.67,<5 accelerate>=1.10,<2 biopython>=1.85,<2 biotite>=1.4,<2 brotli>=1.1,<2 msgpack>=1.1,<2 msgpack-numpy>=0.4.8,<1 omegaconf>=2.3,<3 rdkit>=2025.9,<2027 scipy>=1.15,<2 zstandard>=0.23,<1 |