Instructions to use 1-lock/dac18b37-3be7-4dc2-b933-a101dcd85545 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use 1-lock/dac18b37-3be7-4dc2-b933-a101dcd85545 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, "1-lock/dac18b37-3be7-4dc2-b933-a101dcd85545") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from 1-lock/dac18b37-3be7-4dc2-b933-a101dcd85545: direct link, hf CLI and curl.
- Browser
- Download file 55.2 kB
-
https://huggingface.co/1-lock/dac18b37-3be7-4dc2-b933-a101dcd85545/resolve/main/adapter_model.bin
- Command line
-
hf download hf://1-lock/dac18b37-3be7-4dc2-b933-a101dcd85545/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/1-lock/dac18b37-3be7-4dc2-b933-a101dcd85545/resolve/main/adapter_model.bin
55.2 kB
- Xet hash:
- be552d3d8bdb9a5f431ee74e5a7e4f872dfaeb7eb950696f21ea33cf701f6e03
- Size of remote file:
- 55.2 kB
- SHA256:
- 7978da24a38ca19ef00fcf03036cdaa298fa48962d1a0e44c948233426dc0f67
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