Instructions to use gkteco/bert-fineturned-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gkteco/bert-fineturned-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="gkteco/bert-fineturned-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("gkteco/bert-fineturned-ner") model = AutoModelForTokenClassification.from_pretrained("gkteco/bert-fineturned-ner") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fd18bd22c9020ae2440fab392c371c2d1d0fcb72008d64abc5cb00d2f1e6e6b9
- Size of remote file:
- 5.11 kB
- SHA256:
- 51cff827dcac98867784be2a285f6d653880d81f69318d8b07776c4cda79ac59
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