Instructions to use sofyc/Gemma-2b-MultiCap with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use sofyc/Gemma-2b-MultiCap with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-2-2b-it") model = PeftModel.from_pretrained(base_model, "sofyc/Gemma-2b-MultiCap") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 529c8cbcaad5e994e27f136f6e126a595d0f19093bfd87b02f6b0cf48ed86698
- Size of remote file:
- 17.5 MB
- SHA256:
- e75fde5b97c844757d043608f6ffa2067c427372a01adcaddb549f5e56ab436e
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.