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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 136ac93165b682fb63e31b55d1d091d55eea2f6a215aace4875aeceefeba45d9
- Size of remote file:
- 4.92 kB
- SHA256:
- 88341f584804370faac7368449ebd73697f8116ec22eb7e1723c9f70624b0556
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