Instructions to use DeepDream2045/472f800b-4cef-46e8-98bb-9034a1edc4c6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use DeepDream2045/472f800b-4cef-46e8-98bb-9034a1edc4c6 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2-1.5B-Instruct") model = PeftModel.from_pretrained(base_model, "DeepDream2045/472f800b-4cef-46e8-98bb-9034a1edc4c6") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3ac97b02b8d9fb9cdc0d3672bcb3df763b8e6f53d3b45a58f2491d914c60f675
- Size of remote file:
- 73.9 MB
- SHA256:
- 2a8c3f21ac0274f31126ab156bf1bf105e6f1a3ebf53cbf8431e0ff2f37014ba
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