Instructions to use dada22231/696ac27f-be3e-49c0-a0ca-4bed0a05c306 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dada22231/696ac27f-be3e-49c0-a0ca-4bed0a05c306 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, "dada22231/696ac27f-be3e-49c0-a0ca-4bed0a05c306") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from dada22231/696ac27f-be3e-49c0-a0ca-4bed0a05c306: direct link, hf CLI and curl.
- Browser
- Download file 55.2 kB
-
https://huggingface.co/dada22231/696ac27f-be3e-49c0-a0ca-4bed0a05c306/resolve/main/adapter_model.bin
- Command line
-
hf download hf://dada22231/696ac27f-be3e-49c0-a0ca-4bed0a05c306/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/dada22231/696ac27f-be3e-49c0-a0ca-4bed0a05c306/resolve/main/adapter_model.bin
55.2 kB
- Xet hash:
- ad486aa4155e140faae43c63673ae5b9c037250ad0858bcf7decfa6745705961
- Size of remote file:
- 55.2 kB
- SHA256:
- 8197472dbbc326c82ece524004eee8b98df15b4f920e91b27b21d204a161649d
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