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")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("ProdicusII/ZeroShotBioNER") model = AutoModelForTokenClassification.from_pretrained("ProdicusII/ZeroShotBioNER", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from ProdicusII/ZeroShotBioNER: direct link, hf CLI and curl.
- Browser
- Download file 431 MB
-
https://huggingface.co/ProdicusII/ZeroShotBioNER/resolve/refs%2Fpr%2F9/model.safetensors
- Command line
-
hf download hf://ProdicusII/ZeroShotBioNER@refs/pr/9/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/ProdicusII/ZeroShotBioNER/resolve/refs%2Fpr%2F9/model.safetensors
431 MB
- Xet hash:
- 8b10938e753c4c0dac8a04675ca62843990de5574df7c0654434e98e3b8b6c1a
- Size of remote file:
- 431 MB
- SHA256:
- 7d3c52ce0de47633783bea6f40fb69d358cda6b3847ef9dff25215c4cbc24c2d
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