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:
- a90aac0d39ecd6db0c6b45b65414e3579da188818251752d3ac9484b0fb9dafa
- Size of remote file:
- 38 MB
- SHA256:
- 5b5fcf15bd242e44d655a57970dccb28a1a1a885e86a328e6fa1aebc857fd3a4
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