Instructions to use eventdata-utd/conflibert-named-entity-recognition with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use eventdata-utd/conflibert-named-entity-recognition with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="eventdata-utd/conflibert-named-entity-recognition")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("eventdata-utd/conflibert-named-entity-recognition") model = AutoModelForTokenClassification.from_pretrained("eventdata-utd/conflibert-named-entity-recognition", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload BertForTokenClassification
Browse files- config.json +1 -1
- model.safetensors +1 -1
config.json
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"_name_or_path": "outputs/re3d/best_model",
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model.safetensors
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