Instructions to use DeepDream2045/dece773a-648a-4b48-9717-f5540802033e with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use DeepDream2045/dece773a-648a-4b48-9717-f5540802033e with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/llama-3-8b") model = PeftModel.from_pretrained(base_model, "DeepDream2045/dece773a-648a-4b48-9717-f5540802033e") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from DeepDream2045/dece773a-648a-4b48-9717-f5540802033e: direct link, hf CLI and curl.
- Browser
- Download file 6.78 kB
-
https://huggingface.co/DeepDream2045/dece773a-648a-4b48-9717-f5540802033e/resolve/main/training_args.bin
- Command line
-
hf download hf://DeepDream2045/dece773a-648a-4b48-9717-f5540802033e/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/DeepDream2045/dece773a-648a-4b48-9717-f5540802033e/resolve/main/training_args.bin
6.78 kB
- Xet hash:
- c9724585da655e9521cd421aaf1f243696ba5e9cd8e69f37dbbcf86811caff3e
- Size of remote file:
- 6.78 kB
- SHA256:
- 86128221350e94c74e48ec80589e5b75eddad9157a686da10b441ec5f3139c85
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