Instructions to use dimasik87/7e2b7022-0bfa-480d-b146-b5e0c308b56e with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dimasik87/7e2b7022-0bfa-480d-b146-b5e0c308b56e 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, "dimasik87/7e2b7022-0bfa-480d-b146-b5e0c308b56e") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c2e56653395ff852ea8b5428f6c3574d23a0635c96be4552ae0a275aec7e9961
- Size of remote file:
- 6.78 kB
- SHA256:
- c6201fa75c016f18163151b99e93bf5b6a5fa11cc319ebf064fd67aa576d6c94
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