Instructions to use DeepDream2045/0b8cf2c2-c8d1-4579-bc2a-70048db4beec with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use DeepDream2045/0b8cf2c2-c8d1-4579-bc2a-70048db4beec 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, "DeepDream2045/0b8cf2c2-c8d1-4579-bc2a-70048db4beec") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from DeepDream2045/0b8cf2c2-c8d1-4579-bc2a-70048db4beec: direct link, hf CLI and curl.
- Browser
- Download file 336 MB
-
https://huggingface.co/DeepDream2045/0b8cf2c2-c8d1-4579-bc2a-70048db4beec/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://DeepDream2045/0b8cf2c2-c8d1-4579-bc2a-70048db4beec/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/DeepDream2045/0b8cf2c2-c8d1-4579-bc2a-70048db4beec/resolve/main/adapter_model.safetensors
336 MB
- Xet hash:
- 682337c3baddc03e5eab8cf961c8d74c6f1ee89fe627e5bb7d523df22da911be
- Size of remote file:
- 336 MB
- SHA256:
- 6c696cab0a3d3a6350c331a2fa51b164096d09045d83c85832605ebb6c37a08a
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