Instructions to use jaggernaut007/bert-base-NER-finetuned-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jaggernaut007/bert-base-NER-finetuned-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="jaggernaut007/bert-base-NER-finetuned-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("jaggernaut007/bert-base-NER-finetuned-ner") model = AutoModelForTokenClassification.from_pretrained("jaggernaut007/bert-base-NER-finetuned-ner") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 949da0159ea7e0e2bc3cdb3f1e1d44aef5c3bac32205dad52eeb07831acf8bd3
- Size of remote file:
- 4.92 kB
- SHA256:
- 8b374452e563f867ad60eb63c81ece749281086ae3792189fdcaf5cac4d1b89e
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