Instructions to use Mer-o/bert-finetuned-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mer-o/bert-finetuned-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Mer-o/bert-finetuned-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Mer-o/bert-finetuned-ner") model = AutoModelForTokenClassification.from_pretrained("Mer-o/bert-finetuned-ner") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3198ac467c00627f3364b0857fcc013e67f214487ce3ccae1cddf62d4d8b56c8
- Size of remote file:
- 431 MB
- SHA256:
- f3ffa31df14525d543786157fcf3b3ffc12ad6f2acb56bbae183b6b67500981b
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