Instructions to use VERSIL91/e443af64-296b-415f-893d-db2f1c9bd34d with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use VERSIL91/e443af64-296b-415f-893d-db2f1c9bd34d 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, "VERSIL91/e443af64-296b-415f-893d-db2f1c9bd34d") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from VERSIL91/e443af64-296b-415f-893d-db2f1c9bd34d: direct link, hf CLI and curl.
- Browser
- Download file 6.78 kB
-
https://huggingface.co/VERSIL91/e443af64-296b-415f-893d-db2f1c9bd34d/resolve/main/training_args.bin
- Command line
-
hf download hf://VERSIL91/e443af64-296b-415f-893d-db2f1c9bd34d/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/VERSIL91/e443af64-296b-415f-893d-db2f1c9bd34d/resolve/main/training_args.bin
6.78 kB
- Xet hash:
- b3c9096d671dc0128295a43b2f82bdb055b213eca0eaa1cb45936c7b3b2f42c6
- Size of remote file:
- 6.78 kB
- SHA256:
- be140a8bfe33b442c999f93d52da0c54f4cf6a978699baae6789ab1277bfcb76
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