Instructions to use date3k2/gemma-2b-it-sft-vi-alpaca with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use date3k2/gemma-2b-it-sft-vi-alpaca with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-1.1-2b-it") model = PeftModel.from_pretrained(base_model, "date3k2/gemma-2b-it-sft-vi-alpaca") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1b20e5cfae0ad3758f5d0a2567956a2ad993d0ce0b4f0902eab7aaa35ca78400
- Size of remote file:
- 5.11 kB
- SHA256:
- 83d104bdbea341281e485506793d7489a67c5abab387982a948a85e6a3348d84
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.