Instructions to use Kevin201217/bert-finetuned-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Kevin201217/bert-finetuned-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Kevin201217/bert-finetuned-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Kevin201217/bert-finetuned-ner") model = AutoModelForTokenClassification.from_pretrained("Kevin201217/bert-finetuned-ner") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4666b6c34ee7e0a2523d0b4cf72fe53ce13b3399b17e1c3235f3a7603a85b8e0
- Size of remote file:
- 4.98 kB
- SHA256:
- e7ce831e2847f43880ac54fe71786cde81188064948aa48f26cba99f541aed7f
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