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:
- 49897e032d974bc3103a1f98f70c9fe8ca2eb867724a463518890c4edaac192d
- Size of remote file:
- 240 MB
- SHA256:
- e37e61238b135747fcc3d40a6da7df9fcaf155660d8bdc93dcdfb98cb955210f
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