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
| from fastplms.models.esm3.modeling_esm3 import ( | |
| FastESM3Config, | |
| FastESM3ForSequenceClassification, | |
| FastESM3ForTokenClassification, | |
| FastESM3Model, | |
| ) | |
| __all__ = [ | |
| "FastESM3Config", | |
| "FastESM3ForSequenceClassification", | |
| "FastESM3ForTokenClassification", | |
| "FastESM3Model", | |
| ] | |