Instructions to use DeepDream2045/4f1b39e0-c5b3-469b-920f-d7e7f080eeda with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use DeepDream2045/4f1b39e0-c5b3-469b-920f-d7e7f080eeda with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Mistral-Nemo-Instruct-2407") model = PeftModel.from_pretrained(base_model, "DeepDream2045/4f1b39e0-c5b3-469b-920f-d7e7f080eeda") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3793ea8d3da21bfa30e0e8cc065c6b0b58574eecbf3609a2731f4994e64ff89f
- Size of remote file:
- 913 MB
- SHA256:
- 18021c07ecfee0628b21fdfe9d209aa4efefb3b5e35965bf74faa44ad9ff65e8
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