Instructions to use fadliaulawi/bert-finetuned-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fadliaulawi/bert-finetuned-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="fadliaulawi/bert-finetuned-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("fadliaulawi/bert-finetuned-ner") model = AutoModelForTokenClassification.from_pretrained("fadliaulawi/bert-finetuned-ner") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ba60dc6c23ff53bdf84c40fa93dc683fde572be205cf1d0411d77d142a192dd1
- Size of remote file:
- 431 MB
- SHA256:
- 6367686d99b1a32542a6ef5ba534be7d36eadbd768e98f16fe812598b2e8a991
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