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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 685821527742c9175ed5637714265e28a87c6455ab63e65e9e783bc26ab829f3
- Size of remote file:
- 3.31 kB
- SHA256:
- a938156cc47d0f5aa29d10184feb49da3d3ef7360ac84d71158ba8ff8d490d23
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