Instructions to use EMBO/sd-geneprod-roles with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use EMBO/sd-geneprod-roles with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="EMBO/sd-geneprod-roles")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("EMBO/sd-geneprod-roles") model = AutoModelForTokenClassification.from_pretrained("EMBO/sd-geneprod-roles") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a816047719930f811fdae1e9776522d7f3efe0fa5004ebbd99c6a3d74dbaae82
- Size of remote file:
- 496 MB
- SHA256:
- f2f79cde53b0de316d8d2a158fb924f7888f2ce15267a2d5691692abc67109b4
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