Instructions to use DeepDream2045/a410faa8-b04e-47dc-93e1-d83117ddc36d with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use DeepDream2045/a410faa8-b04e-47dc-93e1-d83117ddc36d with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/tinyllama-chat") model = PeftModel.from_pretrained(base_model, "DeepDream2045/a410faa8-b04e-47dc-93e1-d83117ddc36d") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from DeepDream2045/a410faa8-b04e-47dc-93e1-d83117ddc36d: direct link, hf CLI and curl.
- Browser
- Download file 6.78 kB
-
https://huggingface.co/DeepDream2045/a410faa8-b04e-47dc-93e1-d83117ddc36d/resolve/main/training_args.bin
- Command line
-
hf download hf://DeepDream2045/a410faa8-b04e-47dc-93e1-d83117ddc36d/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/DeepDream2045/a410faa8-b04e-47dc-93e1-d83117ddc36d/resolve/main/training_args.bin
6.78 kB
- Xet hash:
- afc456584747bee72939edf0c685f46ee2e8bbee57ace217a288f002ec7fef8f
- Size of remote file:
- 6.78 kB
- SHA256:
- 0c4495d4d0720ca8cd93d6dccb28fcd07c5d12ffb2a59b19ac7b7b0278f86d66
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