Instructions to use Hatman/bert-finetuned-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Hatman/bert-finetuned-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Hatman/bert-finetuned-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Hatman/bert-finetuned-ner") model = AutoModelForTokenClassification.from_pretrained("Hatman/bert-finetuned-ner") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 09a81c89c87f341f3655a1008632e394229f12819e0c406dff0e179ae055b41a
- Size of remote file:
- 431 MB
- SHA256:
- 184f6770cdbada7a799455c6e40a51c227ad4e532f2c788ccac564f79996fed6
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