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:
- 1dc19068e953b7a4d36490952953c4db0b3ba795c8d9ca57fdfcce3a168388a7
- Size of remote file:
- 101 kB
- SHA256:
- ab7930b188e3610264c540cfda9df08df3595502f8298821191083c3d2483a33
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.