Instructions to use demohong/e53f0620-4da2-44fd-9f86-99ef551ed292 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use demohong/e53f0620-4da2-44fd-9f86-99ef551ed292 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/tinyllama") model = PeftModel.from_pretrained(base_model, "demohong/e53f0620-4da2-44fd-9f86-99ef551ed292") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f862eba028866fb580b3da9a7f6d9f84c05bf5c85333fd37f17f730d6a3e3c51
- Size of remote file:
- 6.78 kB
- SHA256:
- 02c3d6d70de2026cef4068d99fc21899baeb9bc423d22ea996f6f5aa342f79a6
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