Instructions to use colleryu/bert-finetuned-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use colleryu/bert-finetuned-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="colleryu/bert-finetuned-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("colleryu/bert-finetuned-ner") model = AutoModelForTokenClassification.from_pretrained("colleryu/bert-finetuned-ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 65fae662a8591ffe44470befd2d82b996856411dfe08afafc1bede6753e2ce12
- Size of remote file:
- 5.84 kB
- SHA256:
- fbc239bb62ee030ea01ef8e32f61fc8b31fc8a635204db472d009ed7b5085d08
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