Instructions to use urbija/ner-bio-annotated-3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use urbija/ner-bio-annotated-3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="urbija/ner-bio-annotated-3")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("urbija/ner-bio-annotated-3") model = AutoModelForTokenClassification.from_pretrained("urbija/ner-bio-annotated-3") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#2
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:b3113075ecdca70f51a7277999d1895454a4f902ce2c27e3a63a034da60d599a
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size 435612576
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