Instructions to use mholi/bert-finetuned-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mholi/bert-finetuned-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="mholi/bert-finetuned-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("mholi/bert-finetuned-ner") model = AutoModelForTokenClassification.from_pretrained("mholi/bert-finetuned-ner") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1a21d311309209d314fd82d7dd85b16ea280d259fd411f3d63c5803cd455281b
- Size of remote file:
- 431 MB
- SHA256:
- 592afe00a30db987248df96ddb76e0fb8e679936a286f8c98e72db22e5daa6f2
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