Instructions to use donskerclass/bert-finetuned-ner-accelerate with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use donskerclass/bert-finetuned-ner-accelerate with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="donskerclass/bert-finetuned-ner-accelerate")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("donskerclass/bert-finetuned-ner-accelerate") model = AutoModelForTokenClassification.from_pretrained("donskerclass/bert-finetuned-ner-accelerate", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 73a9b1decf68ef8d60262158b614d4bcf3cba4ee9836daa7fa02d0a94ac7cbd3
- Size of remote file:
- 431 MB
- SHA256:
- 191098d8797884ecd60deec8dc7612c1d6d39aaeac1cae4e24fe8ec3c5d774a9
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