Instructions to use 1-lock/ee9c4f6d-84fb-4aa5-b47f-d71bef4dce71 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use 1-lock/ee9c4f6d-84fb-4aa5-b47f-d71bef4dce71 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("fxmarty/tiny-dummy-qwen2") model = PeftModel.from_pretrained(base_model, "1-lock/ee9c4f6d-84fb-4aa5-b47f-d71bef4dce71") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from 1-lock/ee9c4f6d-84fb-4aa5-b47f-d71bef4dce71: direct link, hf CLI and curl.
- Browser
- Download file 48.6 kB
-
https://huggingface.co/1-lock/ee9c4f6d-84fb-4aa5-b47f-d71bef4dce71/resolve/36b7ba7bc4fccedfdee5688a3232e485b846e48f/adapter_model.safetensors
- Command line
-
hf download hf://1-lock/ee9c4f6d-84fb-4aa5-b47f-d71bef4dce71@36b7ba7bc4fccedfdee5688a3232e485b846e48f/adapter_model.safetensors
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curl -L -o adapter_model.safetensors https://huggingface.co/1-lock/ee9c4f6d-84fb-4aa5-b47f-d71bef4dce71/resolve/36b7ba7bc4fccedfdee5688a3232e485b846e48f/adapter_model.safetensors
48.6 kB
- Xet hash:
- 112b6939ac3e09bb604d74dd94c89ffc962171f5b836d9edcacb64c82f634efb
- Size of remote file:
- 48.6 kB
- SHA256:
- 177622cfbcb4d35a7f5c05d9d7696dfd94aab87f6f40dcf31ed2c367ef0fefe2
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