Token Classification
Transformers
PyTorch
GLiNER
English
code
finance
named-entity-recognition
argilla
Instructions to use bhums/argilla_token_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bhums/argilla_token_classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="bhums/argilla_token_classifier")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("bhums/argilla_token_classifier", dtype="auto") - GLiNER
How to use bhums/argilla_token_classifier with GLiNER:
from gliner import GLiNER model = GLiNER.from_pretrained("bhums/argilla_token_classifier") - Notebooks
- Google Colab
- Kaggle
Rename config.json to gliner_config.json
Browse files
config.json → gliner_config.json
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