Instructions to use kmin06/lora_all_16accum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kmin06/lora_all_16accum with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("kmin06/lora_all_16accum", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1ae746d786827d7329048f68e9d1ed652c08516bc490c6ae8e025a3bf4740817
- Size of remote file:
- 5.56 kB
- SHA256:
- 06dab9b652bacadaef008d93671b44776cc973a2e14f58cd58eef5b85ef7b777
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