Instructions to use thakkkkkk/ffdd36c7-b752-465c-92ff-502c174b0c53 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use thakkkkkk/ffdd36c7-b752-465c-92ff-502c174b0c53 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2.5-Math-7B-Instruct") model = PeftModel.from_pretrained(base_model, "thakkkkkk/ffdd36c7-b752-465c-92ff-502c174b0c53") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f00a53cf2cf74ab4c68b7d0ccacbefcc164049b751fd5b857821105e81baf40b
- Size of remote file:
- 162 MB
- SHA256:
- 8b94ab77d10d130d89d34f4821d95b9afd669bdf607013df28859d9bf974e736
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