Instructions to use IreNkweke/bert-finetuned-ner-ontonotes5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use IreNkweke/bert-finetuned-ner-ontonotes5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="IreNkweke/bert-finetuned-ner-ontonotes5")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("IreNkweke/bert-finetuned-ner-ontonotes5") model = AutoModelForTokenClassification.from_pretrained("IreNkweke/bert-finetuned-ner-ontonotes5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 31c83f4010874376510d04574ad10af4f2796cb1edf80b078ef83856201cc5a7
- Size of remote file:
- 431 MB
- SHA256:
- 3bc7ba3e3e99eade84bd119c6f420081350d2497ab7666aa08e20856430ccbd4
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