Instructions to use DeepDream2045/d4216e8d-e8f0-4831-a13b-903a2e643178 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use DeepDream2045/d4216e8d-e8f0-4831-a13b-903a2e643178 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2.5-3B-Instruct") model = PeftModel.from_pretrained(base_model, "DeepDream2045/d4216e8d-e8f0-4831-a13b-903a2e643178") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a38ca8704f5975ccfc0da20f10f8d21c68f467ef17f53af5136240048e98b55d
- Size of remote file:
- 6.78 kB
- SHA256:
- cbf190faab544cec07b4a9f0d5cf05eb66203ff53c20861b2ac887de5822c769
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