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license: apache-2.0
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---
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---
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license: apache-2.0
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---
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# mlx-community/clip-vit-large-patch14
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This model was converted to MLX format from [`clip-vit-large-patch14`](https://huggingface.co/clip-vit-large-patch14).
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Refer to the [original model card](https://huggingface.co/openai/clip-vit-large-patch14) for more details on the model.
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## Use with mlx-examples
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Download the repository 👇
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```
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pip install huggingface_hub hf_transfer
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export HF_HUB_ENABLE_HF_TRANSFER=1
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huggingface-cli download --local-dir <LOCAL FOLDER PATH> mlx-community/clip-vit-large-patch14
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```
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Install `mlx-examples`.
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```bash
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git clone [email protected]:ml-explore/mlx-examples.git
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cd clip
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pip install -r requirements.txt
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```
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Run the model.
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```python
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from PIL import Image
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import clip
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model, tokenizer, img_processor = clip.load("mlx_model")
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inputs = {
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"input_ids": tokenizer(["a photo of a cat", "a photo of a dog"]),
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"pixel_values": img_processor(
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[Image.open("assets/cat.jpeg"), Image.open("assets/dog.jpeg")]
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),
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}
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output = model(**inputs)
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# Get text and image embeddings:
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text_embeds = output.text_embeds
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image_embeds = output.image_embeds
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```
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