Instructions to use mrHungddddh/eea88a40-ee21-401f-979e-6029adbce886 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use mrHungddddh/eea88a40-ee21-401f-979e-6029adbce886 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/llama-2-7b-chat") model = PeftModel.from_pretrained(base_model, "mrHungddddh/eea88a40-ee21-401f-979e-6029adbce886") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b3caa986c976cd7ab8143dd9196550bf99bbdfc57f0b1f7bf2eb827bc044f334
- Size of remote file:
- 6.78 kB
- SHA256:
- 8307890445dbbbd0992ebcf813250ffabe592b7f435049a5949405eb1885eb40
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