Instructions to use ProdicusII/ZeroShotBioNER with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ProdicusII/ZeroShotBioNER with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="ProdicusII/ZeroShotBioNER")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("ProdicusII/ZeroShotBioNER") model = AutoModelForTokenClassification.from_pretrained("ProdicusII/ZeroShotBioNER") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8b10938e753c4c0dac8a04675ca62843990de5574df7c0654434e98e3b8b6c1a
- Size of remote file:
- 431 MB
- SHA256:
- 7d3c52ce0de47633783bea6f40fb69d358cda6b3847ef9dff25215c4cbc24c2d
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