Instructions to use ankitclio/final-lora-kl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ankitclio/final-lora-kl with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ankitclio/final-lora-kl", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7fecf1904372cb786b5ae769e97fca4cb0c5915448a433691ec5141c9c858f49
- Size of remote file:
- 11.4 MB
- SHA256:
- 3e43bb7ca0d24e60fd67fae90358c3738137fafdc0eb3d13f2ce0e4c4bc8c0c9
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