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 adapter_model.bin from error577/f19104f9-3bbb-4c28-bc68-79e78aebec79: direct link, hf CLI and curl.
- Browser
- Download file 640 MB
-
https://huggingface.co/error577/f19104f9-3bbb-4c28-bc68-79e78aebec79/resolve/main/adapter_model.bin
- Command line
-
hf download hf://error577/f19104f9-3bbb-4c28-bc68-79e78aebec79/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/error577/f19104f9-3bbb-4c28-bc68-79e78aebec79/resolve/main/adapter_model.bin
640 MB
- Xet hash:
- d3a24a226a06b8e771b67741eb2c735a7290089b76201b417cf779b2297848b6
- Size of remote file:
- 640 MB
- SHA256:
- 0876dd2a46f9d7dde95897d55530bd3b731aefa3db8e2b3e94f3171cc300ef59
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