Instructions to use DeepDream2045/8541f806-4e70-4054-ac44-3b08df7cf8ae with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use DeepDream2045/8541f806-4e70-4054-ac44-3b08df7cf8ae 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, "DeepDream2045/8541f806-4e70-4054-ac44-3b08df7cf8ae") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cfb830149b1a8ad4ca6995d1a233ac6f817d60eb5c4f2a759ec4df6b98c43439
- Size of remote file:
- 37.1 MB
- SHA256:
- 4588a1ed12b3488762283b70abed25083cdfb0d8f1a44bcc136875e68dfe7787
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