Instructions to use kalex/bert-finetuned-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kalex/bert-finetuned-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="kalex/bert-finetuned-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("kalex/bert-finetuned-ner") model = AutoModelForTokenClassification.from_pretrained("kalex/bert-finetuned-ner") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ac84e0af878ec068d9eaabdcdbc7501b43d07ceb9f27209a22f23c24a44e6c32
- Size of remote file:
- 3.06 kB
- SHA256:
- 655ba770dc8e01be3ca048932a5558876e879dbe3195d2e856dcb5fa6b10f5e4
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