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 adapter_model.bin from DeepDream2045/3f51f3c0-891d-4817-a137-22efc8e5e1bd: direct link, hf CLI and curl.
- Browser
- Download file 323 MB
-
https://huggingface.co/DeepDream2045/3f51f3c0-891d-4817-a137-22efc8e5e1bd/resolve/main/adapter_model.bin
- Command line
-
hf download hf://DeepDream2045/3f51f3c0-891d-4817-a137-22efc8e5e1bd/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/DeepDream2045/3f51f3c0-891d-4817-a137-22efc8e5e1bd/resolve/main/adapter_model.bin
323 MB
- Xet hash:
- 0f030c6dfbd6c025e2999faad6906066af8687e75d8a40bdd609290a11b9d482
- Size of remote file:
- 323 MB
- SHA256:
- fedfb57d8febbac9b0816356a56030f71976bccad22d3a269aacf939dab8831f
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