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 tokenizer.json from ProdicusII/ZeroShotBioNER: direct link, hf CLI and curl.
- Browser
- Download file 669 kB
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https://huggingface.co/ProdicusII/ZeroShotBioNER/resolve/refs%2Fpr%2F7/tokenizer.json
- Command line
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hf download hf://ProdicusII/ZeroShotBioNER@refs/pr/7/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/ProdicusII/ZeroShotBioNER/resolve/refs%2Fpr%2F7/tokenizer.json
669 kB
File too large to display, you can check the raw version instead.