Instructions to use dada22231/80a89bc3-899f-4e23-9896-759501ad8a54 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dada22231/80a89bc3-899f-4e23-9896-759501ad8a54 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2.5-3B-Instruct") model = PeftModel.from_pretrained(base_model, "dada22231/80a89bc3-899f-4e23-9896-759501ad8a54") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8e56fc98ff34082fb0e065ac3a52a4ebddb6e9bcf2d7082ef4e04ff0f0a582f5
- Size of remote file:
- 6.84 kB
- SHA256:
- 52f3b77979445fbb41e108e720c66a82d7cddcedd26ea37ca355b684093cd888
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