Instructions to use nttx/b7d1970d-8f9a-4cae-8180-b2e8c45a7da2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nttx/b7d1970d-8f9a-4cae-8180-b2e8c45a7da2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("katuni4ka/tiny-random-dbrx") model = PeftModel.from_pretrained(base_model, "nttx/b7d1970d-8f9a-4cae-8180-b2e8c45a7da2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 48b3d84fee287e085dbe08957e1eeca1a53aab3896104f4cf9bc440fd3a3df51
- Size of remote file:
- 5.75 kB
- SHA256:
- 46d727ef0af70eeabeb4773ef88c608d767a507ccc740f851c6336c45687168f
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