Token Classification
Transformers
PyTorch
TensorBoard
gpt2
Generated from Trainer
Eval Results (legacy)
text-generation-inference
Instructions to use westbrook/bio_gpt_ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use westbrook/bio_gpt_ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="westbrook/bio_gpt_ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("westbrook/bio_gpt_ner") model = AutoModelForTokenClassification.from_pretrained("westbrook/bio_gpt_ner") - Notebooks
- Google Colab
- Kaggle
westbrook/bio_gpt_ner
Browse files
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