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 last-checkpoint/rng_state_1.pth from 1-lock/dac18b37-3be7-4dc2-b933-a101dcd85545: direct link, hf CLI and curl.
- Browser
- Download file 15 kB
-
https://huggingface.co/1-lock/dac18b37-3be7-4dc2-b933-a101dcd85545/resolve/main/last-checkpoint/rng_state_1.pth
- Command line
-
hf download hf://1-lock/dac18b37-3be7-4dc2-b933-a101dcd85545/last-checkpoint/rng_state_1.pth
-
curl -L -o rng_state_1.pth https://huggingface.co/1-lock/dac18b37-3be7-4dc2-b933-a101dcd85545/resolve/main/last-checkpoint/rng_state_1.pth
15 kB
- Xet hash:
- 4748cea864b4b041f38c323f39685814747675270ccdef91984af8631ba4834a
- Size of remote file:
- 15 kB
- SHA256:
- 1feb5934b28264a04faa8f87ec55b7ab2e90346a9db95efa06bf03aca87a8dcc
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