PEFT
Safetensors
English
audio-language-model
audio-question-answering
lora
mizar
rt-opd
knowledge-distillation
Instructions to use KaiyangLi/Mizar-3B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use KaiyangLi/Mizar-3B with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("KE-Team/Ke-Omni-R-3B") model = PeftModel.from_pretrained(base_model, "KaiyangLi/Mizar-3B") - Notebooks
- Google Colab
- Kaggle
Download reproducibility/frozen_data.tar.gz from KaiyangLi/Mizar-3B: direct link, hf CLI and curl.
- Browser
- Download file 4.51 MB
-
https://huggingface.co/KaiyangLi/Mizar-3B/resolve/main/reproducibility/frozen_data.tar.gz
- Command line
-
hf download hf://KaiyangLi/Mizar-3B/reproducibility/frozen_data.tar.gz
-
curl -L -o frozen_data.tar.gz https://huggingface.co/KaiyangLi/Mizar-3B/resolve/main/reproducibility/frozen_data.tar.gz
4.51 MB
- Xet hash:
- 59b82e30d2a23968de8ea5140dcb328ecb04678ccccbb07d6548b042b5d35ad0
- Size of remote file:
- 4.51 MB
- SHA256:
- 0edfca0db13f1a5008908e98fb25313819561afd338b689b7a7e1e09fc43668f
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