Instructions to use eeeebbb2/af12f959-2447-4124-ba37-e9e3e6beee86 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use eeeebbb2/af12f959-2447-4124-ba37-e9e3e6beee86 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, "eeeebbb2/af12f959-2447-4124-ba37-e9e3e6beee86") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 45573f17d9421f6445599855023c74ef3be3874be5b25ef6461e9e46fe6194a9
- Size of remote file:
- 6.84 kB
- SHA256:
- 5680ac34eb1dd830600c8e27ff77a41ce9dab6e68c50b6c203f7b11296ca5373
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