Instructions to use trangtrannnnn/e031e4af-8a88-4497-ab7d-ebe55bb366d2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use trangtrannnnn/e031e4af-8a88-4497-ab7d-ebe55bb366d2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("lcw99/zephykor-ko-7b-chang") model = PeftModel.from_pretrained(base_model, "trangtrannnnn/e031e4af-8a88-4497-ab7d-ebe55bb366d2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- eca24f716be760c075acdf9c9f4fff270582059f96f11361528c5f8547f138ee
- Size of remote file:
- 84 MB
- SHA256:
- 7ff0b52118df92cc751dd4b91a7ce6285f71dbaa8dde1e29f3626a980c20ceb2
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