Instructions to use mlx-community/siglip-so400m-patch14-384 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use mlx-community/siglip-so400m-patch14-384 with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download mlx-community/siglip-so400m-patch14-384 --local-dir siglip-so400m-patch14-384
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
mlx-community/siglip-so400m-patch14-384
The Model mlx-community/siglip-so400m-patch14-384 was converted to MLX format from google/siglip-so400m-patch14-384 using mlx-lm version 0.0.2.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("mlx-community/siglip-so400m-patch14-384")
response = generate(model, tokenizer, prompt="hello", verbose=True)
- Downloads last month
- 49
Model size
0.9B params
Tensor type
F16
Β·
Hardware compatibility
Log In to add your hardware
Quantized
Inference Providers NEW
This model isn't deployed by any Inference Provider. π Ask for provider support