Instructions to use hf-internal-testing/tiny-random-MBartForQuestionAnswering with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-MBartForQuestionAnswering with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="hf-internal-testing/tiny-random-MBartForQuestionAnswering")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-MBartForQuestionAnswering") model = AutoModelForQuestionAnswering.from_pretrained("hf-internal-testing/tiny-random-MBartForQuestionAnswering") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5b6c9623192f556e7e165068ccb0e7f9ebbe6a994bcc47983744eecd92657df1
- Size of remote file:
- 16.1 MB
- SHA256:
- 2f91af8c7eb122a87b458fce84964b9ccf4fe2db4e56573178c261b8e211b325
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