Instructions to use XiangPan/L12_K256_1B_OpenWebText2_16384_steps3052 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use XiangPan/L12_K256_1B_OpenWebText2_16384_steps3052 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("XiangPan/L12_K256_1B_OpenWebText2_16384_steps3052", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 99071f735ee3123655e3641388ebc724277637275e7e87dfece585b27cb01c38
- Size of remote file:
- 269 MB
- SHA256:
- 4ce753debe6cad82071eb6bbe0cd01de1de076e75bc70f0fb51dce289c339213
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