Instructions to use cogito233/distilbert-base-uncased-finetuned-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cogito233/distilbert-base-uncased-finetuned-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="cogito233/distilbert-base-uncased-finetuned-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("cogito233/distilbert-base-uncased-finetuned-ner") model = AutoModelForTokenClassification.from_pretrained("cogito233/distilbert-base-uncased-finetuned-ner") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6f6e183167a6312ffd28086ff5c3ecb704a393a3ef93f0e9d5faf50ab0ecf1ee
- Size of remote file:
- 266 MB
- SHA256:
- 4b153a4e4c08b14cd2e44299c3525db540271743fa337f71bd2a93c8803da532
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