Instructions to use philschmid/gemma-7b-dolly-chatml with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use philschmid/gemma-7b-dolly-chatml with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-7b") model = PeftModel.from_pretrained(base_model, "philschmid/gemma-7b-dolly-chatml") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 688b6629a5069517354ee01a3759be531c3420559f615e7e67af88ee863fa165
- Size of remote file:
- 17.5 MB
- SHA256:
- 84809b55ed7ba6c3f7511533c56fea68afa557138b182c0f95a86a9803ac1460
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.