Instructions to use DeepDream2045/3f51f3c0-891d-4817-a137-22efc8e5e1bd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use DeepDream2045/3f51f3c0-891d-4817-a137-22efc8e5e1bd with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-Coder-7B-Instruct") model = PeftModel.from_pretrained(base_model, "DeepDream2045/3f51f3c0-891d-4817-a137-22efc8e5e1bd") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from DeepDream2045/3f51f3c0-891d-4817-a137-22efc8e5e1bd: direct link, hf CLI and curl.
- Browser
- Download file 6.78 kB
-
https://huggingface.co/DeepDream2045/3f51f3c0-891d-4817-a137-22efc8e5e1bd/resolve/main/training_args.bin
- Command line
-
hf download hf://DeepDream2045/3f51f3c0-891d-4817-a137-22efc8e5e1bd/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/DeepDream2045/3f51f3c0-891d-4817-a137-22efc8e5e1bd/resolve/main/training_args.bin
6.78 kB
- Xet hash:
- f786a91bd0624eb5469fd97ee0e18316572e5e590a30bec4d09c4432a9f4f78e
- Size of remote file:
- 6.78 kB
- SHA256:
- 3e1d8acd5e705ef61ec99961a94f9704f1ab713b4422661abc7bb4cb0fbcc8fa
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