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:
- 897759d72a201beab9ef08e612e9f531f6e61b5ee5e95c1ed5e42150edaf3346
- Size of remote file:
- 368 kB
- SHA256:
- 6d87ecef5085ced0012d728287c0d08c7f3153d00d20937e87fadca1e168d78b
路
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