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:
- 6645c8f8c89dcf9c9aa1424f96a1f735c5600c503f51ecc585c03094be5cb16b
- Size of remote file:
- 1.39 GB
- SHA256:
- a65d62d6a3de354ce2339b6410b81982f6ec0e958b0cd225add6b3a1192aeb20
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