Instructions to use franzB/dolly-lora-cch with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use franzB/dolly-lora-cch with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("databricks/dolly-v2-3b") model = PeftModel.from_pretrained(base_model, "franzB/dolly-lora-cch") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0c349527dbf336e6691f10bfefc05378506fd055653e1f80bb7643f44723085b
- Size of remote file:
- 5.27 MB
- SHA256:
- e918b280c495f4a2c1306fec23516b2fb6c304eacf87adcd10793b78994101ab
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.