Instructions to use duyphu/575e590c-6953-47a2-aa8b-61e34dcfb54d with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use duyphu/575e590c-6953-47a2-aa8b-61e34dcfb54d with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/tinyllama") model = PeftModel.from_pretrained(base_model, "duyphu/575e590c-6953-47a2-aa8b-61e34dcfb54d") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8f1ae24a9c883974b0a9243ba4a246c8994b5969463a216f954d107e021b6411
- Size of remote file:
- 6.78 kB
- SHA256:
- 077f7033b258406689057376741263f668dc1666b76f393bc15b4a0c8d5fc669
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