Instructions to use dedebo/qa_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dedebo/qa_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="dedebo/qa_model")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("dedebo/qa_model") model = AutoModelForQuestionAnswering.from_pretrained("dedebo/qa_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 00549b7c0a8cd4ac0b28b6575f3ef66fd8417b1c7028a7f3ff78de94184d1984
- Size of remote file:
- 265 MB
- SHA256:
- 3097adc5165136c290c908f0657f8c2b40e039f6faed69c0553cb77dd0e0aaeb
路
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