Instructions to use hf-internal-testing/tiny-random-Data2VecTextForQuestionAnswering with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-Data2VecTextForQuestionAnswering with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="hf-internal-testing/tiny-random-Data2VecTextForQuestionAnswering")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-Data2VecTextForQuestionAnswering") model = AutoModelForQuestionAnswering.from_pretrained("hf-internal-testing/tiny-random-Data2VecTextForQuestionAnswering") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b77374b08dfa1811527a6b493bb5d1fa6ae4b94cc8e69a3d4d9d65a9e6bc997b
- Size of remote file:
- 349 kB
- SHA256:
- 558a686e67ce0319a5d645eee2d7d500c7066048f2fc24419aa28520be218b5a
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