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
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- **Model type:** [More Information Needed]
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- **Language(s) (NLP):** [More Information Needed]
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- **License:** [More Information Needed]
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- **Finetuned from model :** [https://huggingface.co/eventdata-utd/ConfliBERT-scr-uncased
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### Model Sources [optional]
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- **Model type:** [More Information Needed]
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- **Language(s) (NLP):** [More Information Needed]
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- **License:** [More Information Needed]
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- **Finetuned from model :** [eventdata-utd/ConfliBERT-scr-uncased](https://huggingface.co/eventdata-utd/ConfliBERT-scr-uncased)
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### Model Sources [optional]
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