Instructions to use mholi/bert-finetuned-ner-accelerate with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mholi/bert-finetuned-ner-accelerate with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="mholi/bert-finetuned-ner-accelerate")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("mholi/bert-finetuned-ner-accelerate") model = AutoModelForTokenClassification.from_pretrained("mholi/bert-finetuned-ner-accelerate") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 50d932de0b3ec021ec2086598d61712adbb2087b9d4175958905bac46e3edac2
- Size of remote file:
- 431 MB
- SHA256:
- 5f342fa7f23a2427f066f772921d2bca48a52a9706fdfab0a262e4f72a56f052
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