Instructions to use hf-internal-testing/tiny-random-BartForQuestionAnswering with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-BartForQuestionAnswering with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="hf-internal-testing/tiny-random-BartForQuestionAnswering")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-BartForQuestionAnswering") model = AutoModelForQuestionAnswering.from_pretrained("hf-internal-testing/tiny-random-BartForQuestionAnswering") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ba61525d3ec003bf956381a5eec96f2f42d7736d3c57e124cb13d08e88c09b93
- Size of remote file:
- 119 kB
- SHA256:
- cea1eae03bd94412659a7a3b77b2e5a559d870cf917ac8f12f521b8c2a0111c5
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