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:
- 6a94417f7779fee6211a1eac3ab79ff5a9f7e882b0102536f2aac71e51ee01e9
- Size of remote file:
- 31.8 MB
- SHA256:
- 2af8ffec249c3d3d4048bd74bd08857e825b98455d1abeb1a767eb9a2a37f76d
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