Instructions to use fvarini/bert-finetuned-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fvarini/bert-finetuned-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="fvarini/bert-finetuned-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("fvarini/bert-finetuned-ner") model = AutoModelForTokenClassification.from_pretrained("fvarini/bert-finetuned-ner") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 63826ded7aceba3354188a30fd3f7e763bf9fe33dffb74ebb6a4f0cfcfeedafb
- Size of remote file:
- 431 MB
- SHA256:
- 8b65ae18f9d59a75ceba45cc702defbbed0610214a8c418ffa43068d753e91a5
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