Video-Text-to-Text
MLX
Safetensors
dattn_gemma2
video-understanding
temporal-grounding
multimodal
gemma2
siglip2
whisper
8-bit precision
quantized
Instructions to use wangjazz/Vidi1.5-9B-mlx-8bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use wangjazz/Vidi1.5-9B-mlx-8bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir Vidi1.5-9B-mlx-8bit wangjazz/Vidi1.5-9B-mlx-8bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
File size: 135 Bytes
f5d508f | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:2f855d78ffb821ed6b3537f2d53262567693c64fad5880e7ba15d0fe0f53a22c
size 3564416995
|