Instructions to use hf-internal-testing/tiny-random-NezhaForPreTraining with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-NezhaForPreTraining with Transformers:
# Load model directly from transformers import AutoModelForPreTraining model = AutoModelForPreTraining.from_pretrained("hf-internal-testing/tiny-random-NezhaForPreTraining", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 40ca708176c11b8398f134b30c59d673698c68f2a8ee61bedaa2d99848abbac2
- Size of remote file:
- 2.95 MB
- SHA256:
- cfa8f885690bdc491b1e16f8ce694b3fb2f705b1ecf8fba7131408ccf953d123
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