Instructions to use AlexStamp/bert-finetuned-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AlexStamp/bert-finetuned-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="AlexStamp/bert-finetuned-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("AlexStamp/bert-finetuned-ner") model = AutoModelForTokenClassification.from_pretrained("AlexStamp/bert-finetuned-ner") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 52ef56b8991db67985ca438a65b0bb2a93636aa2befe889c6c64e9b8ecfcf9ab
- Size of remote file:
- 5.2 kB
- SHA256:
- 6c2b54cc4f35878e921e8fb5b352ac0dd045ec609cd785ceaa63cadd191881dd
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