Instructions to use SnowFlash383935/DigitalEduTransformers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SnowFlash383935/DigitalEduTransformers with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("SnowFlash383935/DigitalEduTransformers", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download train_std.npy from SnowFlash383935/DigitalEduTransformers: direct link, hf CLI and curl.
- Browser
- Download file 156 Bytes
-
https://huggingface.co/SnowFlash383935/DigitalEduTransformers/resolve/refs%2Fpr%2F1/train_std.npy
- Command line
-
hf download hf://SnowFlash383935/DigitalEduTransformers@refs/pr/1/train_std.npy
-
curl -L -o train_std.npy https://huggingface.co/SnowFlash383935/DigitalEduTransformers/resolve/refs%2Fpr%2F1/train_std.npy
156 Bytes
- Xet hash:
- 92849c361c37f9556b8ec9f9890a9c04fe4a39a1d18c3d6e374b40f6f3c0be1c
- Size of remote file:
- 156 Bytes
- SHA256:
- e5547008f95def555f070b0baedbf1bd7e983c37fa642ccae3acf85b1bd23177
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