Instructions to use Ella01/bert-finetuned-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ella01/bert-finetuned-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Ella01/bert-finetuned-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Ella01/bert-finetuned-ner") model = AutoModelForTokenClassification.from_pretrained("Ella01/bert-finetuned-ner") - Notebooks
- Google Colab
- Kaggle
bert-finetuned-ner / runs /Jun28_04-30-23_c03af8796a7f /events.out.tfevents.1719549026.c03af8796a7f.602.0
- Xet hash:
- 39bc317a0be386861d7924e79930e1cb6d6d908f84ad41e5a3c1f41dc0144209
- Size of remote file:
- 6.25 kB
- SHA256:
- 2a7f9ab50d6e10a45adbbc6203398e618487e42ae3e77af45623461865b86cf6
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