Instructions to use thangvip/bert-finetuned-ner-accelerate with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use thangvip/bert-finetuned-ner-accelerate with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="thangvip/bert-finetuned-ner-accelerate")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("thangvip/bert-finetuned-ner-accelerate") model = AutoModelForTokenClassification.from_pretrained("thangvip/bert-finetuned-ner-accelerate") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ee2ca23eeab624ad39fab19855af2fd4d0325b240acfa3a78d6c2a78b7e44cae
- Size of remote file:
- 431 MB
- SHA256:
- 3ee738b30551e989e470656f9953439e10c96883bf81b6a61e8c6fa84c63709a
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