Instructions to use EMBO/sd-smallmol-roles with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use EMBO/sd-smallmol-roles with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="EMBO/sd-smallmol-roles")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("EMBO/sd-smallmol-roles") model = AutoModelForTokenClassification.from_pretrained("EMBO/sd-smallmol-roles") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 451363bb5ba37f9e341629d4aa1586aff1a07e586dba25563b2b6b376c2c1f07
- Size of remote file:
- 496 MB
- SHA256:
- 51496506fa268a6af1f38ca6e37ded58491bbe0314c7c688fc78da2252cb9ff6
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