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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6795196a59c0d5ae29e99e42c360fe0cb77c5ad859ecefa80a6973cdd853cb3f
- Size of remote file:
- 2.86 kB
- SHA256:
- 6ddb638ed7395af05523558a64e51f630c8c3cc965d70f6688302a125769aa0d
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