Instructions to use Shushant/questionansweringmodel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Shushant/questionansweringmodel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="Shushant/questionansweringmodel")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Shushant/questionansweringmodel") model = AutoModelForQuestionAnswering.from_pretrained("Shushant/questionansweringmodel") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 263f09d240640c3a7636221f172908349c962a53d5f4997d7f28788bcf0228be
- Size of remote file:
- 1.34 GB
- SHA256:
- 69e3b18626ddb259b9ba07884728da9e433ff9f1c53946d5ab5bcf12050c7848
路
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