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")# pip install -U transformers accelerate # 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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#4 opened almost 2 years ago
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SFconvertbot
Librarian Bot: Add base_model information to model
#3 opened about 3 years ago
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librarian-bot
Adding `safetensors` variant of this model
#2 opened about 3 years ago
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SFconvertbot
Adding `safetensors` variant of this model
#1 opened about 3 years ago
by
SFconvertbot