metadata
license: apache-2.0
tags:
- vision
- mlx
widget:
- src: >-
https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/bee.jpg
candidate_labels: bee in the sky, bee on the flower
example_title: Bee
library_name: transformers
pipeline_tag: zero-shot-image-classification
mlx-community/siglip-so400m-patch14-224
The Model mlx-community/siglip-so400m-patch14-224 was converted to MLX format from google/siglip-so400m-patch14-224 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-patch14-224")
response = generate(model, tokenizer, prompt="hello", verbose=True)