Instructions to use Rodo-Sami/c46fb906-dd65-4946-9bc0-fb2b0f0fd2a6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Rodo-Sami/c46fb906-dd65-4946-9bc0-fb2b0f0fd2a6 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2.5-Math-1.5B") model = PeftModel.from_pretrained(base_model, "Rodo-Sami/c46fb906-dd65-4946-9bc0-fb2b0f0fd2a6") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8de930e0dc082f32714bde55f1c0aefb7c0f40fda0c1943adfa5eb3a6e96c027
- Size of remote file:
- 148 MB
- SHA256:
- c20b87930fe9580873f18d676e9b6cfa960ac2b2e390136507a7b75652e664a5
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