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:
- d8a914d3914886628c975cb098263b7b4f94237859a1d63d9b90d8fe6c559b9e
- Size of remote file:
- 4.66 kB
- SHA256:
- 52667d92caabd7b565de49a563deb324ebf742d832a5d1d246e8f13d21a01555
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