Instructions to use hf-internal-testing/tiny-random-NezhaModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-NezhaModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-internal-testing/tiny-random-NezhaModel")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-NezhaModel", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5742fed59ac2e72a8ccdf4ce2e7cc612eab157098a126a95e06a815dd64ff79f
- Size of remote file:
- 2.92 MB
- SHA256:
- edcc3888ca5b9c1a9c7ee2b4ef8853d8c266e2a38e3881bd4b61d3f2c42e7ef4
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