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:
- bbceb6dd3dad2a0c9f0b7c3f041890dca66e079592013af795523ed12c33c59a
- Size of remote file:
- 431 MB
- SHA256:
- e8e81e03e162055c8ad832fab5bbb62e9e15278d0704ddc2f85010884e2c2af4
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