Instructions to use Kate-lf/bert-finetuned-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Kate-lf/bert-finetuned-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Kate-lf/bert-finetuned-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Kate-lf/bert-finetuned-ner") model = AutoModelForTokenClassification.from_pretrained("Kate-lf/bert-finetuned-ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0a56cb7e92c8325d65d4614a2b802e296a44d086aad72da3be3b5aac69d82a8f
- Size of remote file:
- 5.78 kB
- SHA256:
- 21233b5f0c7a950d59be3a1472deb8455ddb2ff70e65c4f01f86e82115ab8568
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