Instructions to use error577/f19104f9-3bbb-4c28-bc68-79e78aebec79 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use error577/f19104f9-3bbb-4c28-bc68-79e78aebec79 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen1.5-7B") model = PeftModel.from_pretrained(base_model, "error577/f19104f9-3bbb-4c28-bc68-79e78aebec79") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from error577/f19104f9-3bbb-4c28-bc68-79e78aebec79: direct link, hf CLI and curl.
- Browser
- Download file 6.78 kB
-
https://huggingface.co/error577/f19104f9-3bbb-4c28-bc68-79e78aebec79/resolve/main/training_args.bin
- Command line
-
hf download hf://error577/f19104f9-3bbb-4c28-bc68-79e78aebec79/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/error577/f19104f9-3bbb-4c28-bc68-79e78aebec79/resolve/main/training_args.bin
6.78 kB
- Xet hash:
- 67591e714370baf0884702fc2e43080297a9c47589b8b2e53666e460eafda41f
- Size of remote file:
- 6.78 kB
- SHA256:
- 438f55570416df47c95f0190c524354a2631aeb9eab3c1c566aa35d4759fd07b
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