Instructions to use paopao0226/bert-finetuned-ner-accelerator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use paopao0226/bert-finetuned-ner-accelerator with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="paopao0226/bert-finetuned-ner-accelerator")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("paopao0226/bert-finetuned-ner-accelerator") model = AutoModelForTokenClassification.from_pretrained("paopao0226/bert-finetuned-ner-accelerator") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6a075efa3b640fcf95e6794daf23ac7dd6df6debf27034236984eac9d3b6ea01
- Size of remote file:
- 431 MB
- SHA256:
- 1093c4ab28d9cedc9bc2f4313b2e0d8985ee093c18e12ed4219daf16c85d7642
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