Instructions to use Abhishek4/Cuad_Finetune_roberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Abhishek4/Cuad_Finetune_roberta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Abhishek4/Cuad_Finetune_roberta")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Abhishek4/Cuad_Finetune_roberta") model = AutoModelForTokenClassification.from_pretrained("Abhishek4/Cuad_Finetune_roberta", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dafdd8c40176239b1842c7edf365619abf04053be710ee41e01fdc5fd492fa1b
- Size of remote file:
- 2.86 kB
- SHA256:
- ebb971650b429533f4d27782807a47aaa4c9688a0b2f23d686c018102f442d5a
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