Instructions to use DeepDream2045/ce794c97-ab3d-4983-8fd9-ecb98ac48446 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use DeepDream2045/ce794c97-ab3d-4983-8fd9-ecb98ac48446 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/CodeLlama-7b-hf") model = PeftModel.from_pretrained(base_model, "DeepDream2045/ce794c97-ab3d-4983-8fd9-ecb98ac48446") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fa3059fa749d7200cc0121c63bcbc7eafffcf9241f742ba56a256a15460bec02
- Size of remote file:
- 6.78 kB
- SHA256:
- 074b0a31c205551dac9dcd7ea64b14c9f0af69f76523c670dd04b96e7212fe3e
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