Any-to-Any
Transformers
Safetensors
GGUF
gemma4
multimodal
text-generation
image-text-to-text
audio-text-to-text
video-text-to-text
long-context
lora
bf16
llama-cpp
zh
en
Instructions to use chirs345678/Anrn-12B-R1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use chirs345678/Anrn-12B-R1 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("chirs345678/Anrn-12B-R1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e8f149a14992954af7a79d460b798fedad5f87bac910ddc5202c8e07e8fe8ece
- Size of remote file:
- 137 kB
- SHA256:
- d20f27669fd194e98ab223fb7c474bc1ed7e1f473fd48ab4893cd2c3524c6d5a
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.