Instructions to use hf-internal-testing/tiny-random-NezhaForQuestionAnswering with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-NezhaForQuestionAnswering with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="hf-internal-testing/tiny-random-NezhaForQuestionAnswering")# Load model directly from transformers import AutoModelForQuestionAnswering model = AutoModelForQuestionAnswering.from_pretrained("hf-internal-testing/tiny-random-NezhaForQuestionAnswering", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a10d6f6c62985b62bf19001db956b375f0470c84260cfc58c622c904365f35d4
- Size of remote file:
- 2.93 MB
- SHA256:
- bf991c19090d1af0117fe0816b6b524a1cf238396255e2739a77be5917d88eec
路
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