Instructions to use chasche/bert-finetuned-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use chasche/bert-finetuned-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="chasche/bert-finetuned-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("chasche/bert-finetuned-ner") model = AutoModelForTokenClassification.from_pretrained("chasche/bert-finetuned-ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3c72d5682177f90eb1426c5ee856a174a4646864651f927988a17caf654683d5
- Size of remote file:
- 4.98 kB
- SHA256:
- ba3bd334fb195fb7004093332ea9554dfc92d5553ea16ad8eb2fa7d8b92a9378
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