Instructions to use Synthyra/ESM3_small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Synthyra/ESM3_small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Synthyra/ESM3_small", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Synthyra/ESM3_small", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
| # Direct runtime dependencies for Synthyra/ESM3_small. | |
| # 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 | |