Instructions to use laquythang/65ec45c4-e0b8-4a8f-a971-035adc0edba0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use laquythang/65ec45c4-e0b8-4a8f-a971-035adc0edba0 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/zephyr-sft") model = PeftModel.from_pretrained(base_model, "laquythang/65ec45c4-e0b8-4a8f-a971-035adc0edba0") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f35d3b2dbabbe20ac83b276fb4a0c81b5c9f592f27b6986567de2f8d680ecfeb
- Size of remote file:
- 6.78 kB
- SHA256:
- 23274eefffad56f08c68ea5ed411297834e34b245a100cae547a8eefc514fbcd
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