Instructions to use Alexander-Learn/bert-finetuned-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Alexander-Learn/bert-finetuned-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Alexander-Learn/bert-finetuned-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Alexander-Learn/bert-finetuned-ner") model = AutoModelForTokenClassification.from_pretrained("Alexander-Learn/bert-finetuned-ner") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c95694fd3b3b0aa87c6571c39cdd0285a3938b7d8ca18d99036c08cc4acc8eec
- Size of remote file:
- 431 MB
- SHA256:
- db1e9a9cc61f75792f0662c01bf61e90d3aced530c55a19c6e3be27f13c35575
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