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
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a298547 | 1 2 3 4 5 6 7 8 9 10 11 | # 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 |