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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1d81eb37c70465b9bcda19baa6078f10e5a25aea542e2d3b9dab771afdf37e50
- Size of remote file:
- 17.1 MB
- SHA256:
- 0df8a0319e6f0464bfac55a5283a8f8ce4a1fb06203fdd2c76ae59c271198e0c
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