Instructions to use DeepDream2045/7bc4d55e-308b-4992-a748-fc40ec8b7312 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use DeepDream2045/7bc4d55e-308b-4992-a748-fc40ec8b7312 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("scb10x/llama-3-typhoon-v1.5-8b-instruct") model = PeftModel.from_pretrained(base_model, "DeepDream2045/7bc4d55e-308b-4992-a748-fc40ec8b7312") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 35addb06a608e7fcb571a9c2c71fa9758aa2fb3d633f04e06e9612fe22836daa
- Size of remote file:
- 6.78 kB
- SHA256:
- 55302bbea15e79458a8ab7c399d4d91ad6032dbfac92f1b728894c559d826db9
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