Instructions to use error577/4e03c89a-8b75-498e-b418-baeb044e5bd5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use error577/4e03c89a-8b75-498e-b418-baeb044e5bd5 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("peft-internal-testing/tiny-dummy-qwen2") model = PeftModel.from_pretrained(base_model, "error577/4e03c89a-8b75-498e-b418-baeb044e5bd5") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from error577/4e03c89a-8b75-498e-b418-baeb044e5bd5: direct link, hf CLI and curl.
- Browser
- Download file 100 kB
-
https://huggingface.co/error577/4e03c89a-8b75-498e-b418-baeb044e5bd5/resolve/4878f6c5b5a9374bc5f3c5588b0913f0f59ddccd/adapter_model.bin
- Command line
-
hf download hf://error577/4e03c89a-8b75-498e-b418-baeb044e5bd5@4878f6c5b5a9374bc5f3c5588b0913f0f59ddccd/adapter_model.bin
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curl -L -o adapter_model.bin https://huggingface.co/error577/4e03c89a-8b75-498e-b418-baeb044e5bd5/resolve/4878f6c5b5a9374bc5f3c5588b0913f0f59ddccd/adapter_model.bin
100 kB
- Xet hash:
- 26aacefc09d009c5b569091158ac4e863a2b1362b26e5b9dbe810131a0cba898
- Size of remote file:
- 100 kB
- SHA256:
- fcf7d769f518e07ceff527895d154bedb95a916d4a79bafb25e71d839fac1544
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