Instructions to use RinaL/bert-finetuned-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RinaL/bert-finetuned-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="RinaL/bert-finetuned-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("RinaL/bert-finetuned-ner") model = AutoModelForTokenClassification.from_pretrained("RinaL/bert-finetuned-ner") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d9ee2bf704114c8ed054de8d6d5ebeff0c538aa984f558f250507618465d1fde
- Size of remote file:
- 4.86 kB
- SHA256:
- 80e0535ae0c5f5d7539eb9b6e611109c38c0c16405a6e155b29bae0842775c27
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