Instructions to use dada22231/af12f959-2447-4124-ba37-e9e3e6beee86 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dada22231/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, "dada22231/af12f959-2447-4124-ba37-e9e3e6beee86") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/optimizer.pt from dada22231/af12f959-2447-4124-ba37-e9e3e6beee86: direct link, hf CLI and curl.
- Browser
- Download file 646 MB
-
https://huggingface.co/dada22231/af12f959-2447-4124-ba37-e9e3e6beee86/resolve/main/last-checkpoint/optimizer.pt
- Command line
-
hf download hf://dada22231/af12f959-2447-4124-ba37-e9e3e6beee86/last-checkpoint/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/dada22231/af12f959-2447-4124-ba37-e9e3e6beee86/resolve/main/last-checkpoint/optimizer.pt
646 MB
- Xet hash:
- 4184da73e92a464e038cd8967ae3c13a6f808b551a1d7362df369a4a9b31025e
- Size of remote file:
- 646 MB
- SHA256:
- 9bf219203169155f0ba49692dda7b173b05527cc5ec37b5523af619e2b9d80d6
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