Instructions to use DeepDream2045/9be582c6-7e94-43cf-b19a-1bd6df3ab493 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use DeepDream2045/9be582c6-7e94-43cf-b19a-1bd6df3ab493 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/mistral-7b-v0.3") model = PeftModel.from_pretrained(base_model, "DeepDream2045/9be582c6-7e94-43cf-b19a-1bd6df3ab493") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3f7473b7f20c86656866d89c98bc88849f6d5d84b30027f046301a5593c318d1
- Size of remote file:
- 336 MB
- SHA256:
- a4f51aba38fbb687748ac5042c5a60c1fce0e2e25b5e45ad4416dc383f87e4ec
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