Instructions to use badalsahani/oneAPI_roberta_QA_Model_kaggle_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use badalsahani/oneAPI_roberta_QA_Model_kaggle_2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="badalsahani/oneAPI_roberta_QA_Model_kaggle_2")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("badalsahani/oneAPI_roberta_QA_Model_kaggle_2") model = AutoModelForQuestionAnswering.from_pretrained("badalsahani/oneAPI_roberta_QA_Model_kaggle_2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6f6b1d57010db2ccdf9ea7a353841ef1001ca006e21b0fd455ef1a1dc585db5c
- Size of remote file:
- 4.09 kB
- SHA256:
- 45d6ca700e38c41f8b112d2c602ae9f836ce80c544b092d34ebe1d3eebcf08d5
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