Instructions to use DanMaks11/bert-finetuned-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DanMaks11/bert-finetuned-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="DanMaks11/bert-finetuned-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("DanMaks11/bert-finetuned-ner") model = AutoModelForTokenClassification.from_pretrained("DanMaks11/bert-finetuned-ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b218594341b2d8a25bfdd3ba62789f25a9af34544ae33a75dd7d93f5aa61f17a
- Size of remote file:
- 5.37 kB
- SHA256:
- 12f865433ea1cf37b48e3f947021cf763f42c06ef6c2be073ace5e82ab869eb3
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