Instructions to use ulises-c/bert-finetuned-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ulises-c/bert-finetuned-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="ulises-c/bert-finetuned-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("ulises-c/bert-finetuned-ner") model = AutoModelForTokenClassification.from_pretrained("ulises-c/bert-finetuned-ner") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a37dbcc0a119075ca37f9c83de65632d32d5469f27416e3cdd2ca31248ad0103
- Size of remote file:
- 5.27 kB
- SHA256:
- a0286e07d6058aab03a7ced469a012353c8995d1181dd67cdc4809cf208b2944
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