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title: README | |
emoji: ⚡ | |
colorFrom: blue | |
colorTo: green | |
sdk: static | |
pinned: false | |
# **MLX Vision** | |
A community org for model weights compatible with (mlx-im)[https://github.com/riccardomusmeci/mlx-im/tree/main] powered by MLX. | |
These are weights converted from timm/torchvision and ready to be used. | |
## **How to install** | |
``` | |
git clone https://github.com/riccardomusmeci/mlx-im | |
cd mlx-im | |
pip install . | |
``` | |
## **Models** | |
To create a model with weights: | |
```python | |
from mlxim.model import create_model | |
# loading weights from mlx-vision | |
model = create_model("resnet18") | |
# loading weights from local file | |
model = create_model("resnet18", weights="path/to/weights.npz") | |
``` | |
> [!WARNING] | |
> As of today (2024-03-05) mlx does not support `nn.Conv2d` with `group` or `dilation` greater than 1 (e.g. `resnext`, `regnet`, `efficientnet`). |