Instructions to use Alphatao/f11e9dd7-c7de-4f97-9479-ba5c0483a0e4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Alphatao/f11e9dd7-c7de-4f97-9479-ba5c0483a0e4 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/gemma-2-2b-it") model = PeftModel.from_pretrained(base_model, "Alphatao/f11e9dd7-c7de-4f97-9479-ba5c0483a0e4") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e8a4c2ac85907324132c48ac662352e1949e30ae08649f72c53468fb06dde4d5
- Size of remote file:
- 83.1 MB
- SHA256:
- b2bb07f9c632823e6d8c558cac14b59e7cadc51b4618d6ef6da15832413d7c64
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.