Instructions to use DeepDream2045/f4a0105d-f1d8-41e3-9298-98df2db01e82 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use DeepDream2045/f4a0105d-f1d8-41e3-9298-98df2db01e82 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("princeton-nlp/Sheared-LLaMA-1.3B") model = PeftModel.from_pretrained(base_model, "DeepDream2045/f4a0105d-f1d8-41e3-9298-98df2db01e82") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- aaec21706485bc4733636c5f491634a506b5a677561248c699c42f7e9234a4bf
- Size of remote file:
- 120 MB
- SHA256:
- ba1d689f7aa168b9719f300c8a3a9f726b0e16569efbc8259428ccc68a234fcc
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