Instructions to use LucciAI/openchat-3.5-0106-adapters with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use LucciAI/openchat-3.5-0106-adapters with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("openchat/openchat-3.5-0106") model = PeftModel.from_pretrained(base_model, "LucciAI/openchat-3.5-0106-adapters") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b0a3dce78f5241c7a9cd3acfb80bd78463e2600c47692d16777af06b74e5ba12
- Size of remote file:
- 42 MB
- SHA256:
- b8e236eae4baf2021ae1ee2d23758b7b86639dd7cd848a25a0a0703d4590607f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.