Instructions to use hf-tiny-model-private/tiny-random-NezhaForPreTraining with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-tiny-model-private/tiny-random-NezhaForPreTraining with Transformers:
# Load model directly from transformers import AutoModelForPreTraining model = AutoModelForPreTraining.from_pretrained("hf-tiny-model-private/tiny-random-NezhaForPreTraining", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ccac11820b59a6c06583a525d202176edc107633bba2191bbbe89633b14029c1
- Size of remote file:
- 2.95 MB
- SHA256:
- b2334aa6dbd74325df9274248fa7326a6f005283148a20311862fd9d61ad23f1
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