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:
- c43bb3d5db16bb291007ee0c2f7bd8937687ab0e306bc2b4427fa84a30e24914
- Size of remote file:
- 84 MB
- SHA256:
- d9ccf3a451a4b237462114924d81d16db262939ae4a3843dff6c6fb60663beb6
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