Instructions to use OmAlve/outputs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use OmAlve/outputs with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-2b") model = PeftModel.from_pretrained(base_model, "OmAlve/outputs") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- afe0f5d57370c714c262a3e08a13e90ce6bc195d4ea86818e116f9f601e3512f
- Size of remote file:
- 4.86 kB
- SHA256:
- 77053d7ca190ce4ee820525221d100377418ab1700d0dc1b4c407e8456fe065d
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