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 training_args.bin from 1-lock/ee9c4f6d-84fb-4aa5-b47f-d71bef4dce71: direct link, hf CLI and curl.
- Browser
- Download file 6.84 kB
-
https://huggingface.co/1-lock/ee9c4f6d-84fb-4aa5-b47f-d71bef4dce71/resolve/main/training_args.bin
- Command line
-
hf download hf://1-lock/ee9c4f6d-84fb-4aa5-b47f-d71bef4dce71/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/1-lock/ee9c4f6d-84fb-4aa5-b47f-d71bef4dce71/resolve/main/training_args.bin
6.84 kB
- Xet hash:
- af6f17f1000f9952d37a75dc7f2b0ba2f0b45d38e442d60931182bde80eab708
- Size of remote file:
- 6.84 kB
- SHA256:
- 25a7cb30b286ed11b8a6f0edd16b6251262123a5227694fe2e6247faf95369d7
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