Instructions to use timothee1996/bert-finetuned-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use timothee1996/bert-finetuned-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="timothee1996/bert-finetuned-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("timothee1996/bert-finetuned-ner") model = AutoModelForTokenClassification.from_pretrained("timothee1996/bert-finetuned-ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fad648c53881ae097bf666cd48b791ccca2290d405bb9cdc2665545217899bb0
- Size of remote file:
- 4.6 kB
- SHA256:
- 72be4981435835a0e65aef6ebfa3eaac03c216c643df25cd7fd6cf06b9dd0867
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