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:
- 1e82736b81ab8e3f731488dff5d25407d8cf8b169459847b65b526dcf072663a
- Size of remote file:
- 4.73 kB
- SHA256:
- f343373b8d8cbaa0620c0df1ac295264aa5364f516f3dcb70d4db6b2ee6c51e4
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