Instructions to use denbeo/9643e284-544e-475d-9567-85209a2a9120 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use denbeo/9643e284-544e-475d-9567-85209a2a9120 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/mistral-7b-v0.3") model = PeftModel.from_pretrained(base_model, "denbeo/9643e284-544e-475d-9567-85209a2a9120") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1c36e4b812f71deb6f55e2a664da20f32e8e560c7903717136257e146dbcc23c
- Size of remote file:
- 6.78 kB
- SHA256:
- 1dc20450f39e40a59539b8dab42064d5de3479afcc8ad3895e67290c2b5c3161
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.