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
File size: 303 Bytes
59eb3c9 57d0cd3 a298547 59eb3c9 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | from fastplms.models.esm3.modeling_esm3 import (
FastESM3Config,
FastESM3ForSequenceClassification,
FastESM3ForTokenClassification,
FastESM3Model,
)
__all__ = [
"FastESM3Config",
"FastESM3ForSequenceClassification",
"FastESM3ForTokenClassification",
"FastESM3Model",
]
|