Instructions to use DeepDream2045/ac6cad31-49cc-4fb8-bd39-754264aa59fa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use DeepDream2045/ac6cad31-49cc-4fb8-bd39-754264aa59fa with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("MLP-KTLim/llama-3-Korean-Bllossom-8B") model = PeftModel.from_pretrained(base_model, "DeepDream2045/ac6cad31-49cc-4fb8-bd39-754264aa59fa") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- aa763b5488025720d6de2baf580d871bdcf230062e5f772a0057922194160090
- Size of remote file:
- 6.78 kB
- SHA256:
- 5d06cc65b4110957dec974c27971683a5c2c42ac1023853f3632d0d9d07d76ea
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