Instructions to use DeepDream2045/9f7439e2-56ef-48b6-b4d7-4b2f1d24d44e with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use DeepDream2045/9f7439e2-56ef-48b6-b4d7-4b2f1d24d44e with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen1.5-14B-Chat") model = PeftModel.from_pretrained(base_model, "DeepDream2045/9f7439e2-56ef-48b6-b4d7-4b2f1d24d44e") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6198a19d2b9367b12e74126f16ea2c809a15447030dddd4ee98da998c460875b
- Size of remote file:
- 998 MB
- SHA256:
- 054f90bb5d95563f1c2ed400feac2537f6cd16db3e4a83581765cacbe5878bcd
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