Instructions to use jaese/bert-finetuned-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jaese/bert-finetuned-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="jaese/bert-finetuned-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("jaese/bert-finetuned-ner") model = AutoModelForTokenClassification.from_pretrained("jaese/bert-finetuned-ner") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3a393770c810a23afbeb5939992b7e748c775cf835a232d25a224e0c3fdf2aa6
- Size of remote file:
- 3.38 kB
- SHA256:
- 6b068fb36a16b20050ed1d3673a29040881f4b34cc3ba00ab81b35b7d9b5ee5f
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