Instructions to use nttx/0f93b513-f452-4599-beb3-0b6e6831b198 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nttx/0f93b513-f452-4599-beb3-0b6e6831b198 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2.5-3B") model = PeftModel.from_pretrained(base_model, "nttx/0f93b513-f452-4599-beb3-0b6e6831b198") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 38f01d3a693ef2dfd769cd9556e08440017d9e9bbc48f2cdeb31dfea189775f7
- Size of remote file:
- 59.9 MB
- SHA256:
- 1c3b3768569a8ceb5e538c7e258771b44dc461b0d3da400e79d737a29e638ea3
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