Instructions to use Vasanth/qa_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Vasanth/qa_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="Vasanth/qa_model")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Vasanth/qa_model") model = AutoModelForQuestionAnswering.from_pretrained("Vasanth/qa_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dd4e117101a6420d2e862d7b2bfc8b347272c82c8606e2b03966f2f2bf9ca257
- Size of remote file:
- 261 MB
- SHA256:
- 4b3a8f61748e3b0f5a6396e473b7253c1d49ef60ff42af68acfc742fc53b3792
路
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