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README.md
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license: apache-2.0
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---
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license: apache-2.0
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---
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**INFERENTIA ONLY**
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Exported with:
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```python
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from optimum.neuron import NeuronModelForSentenceTransformers
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# [Compile]
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model_id = "sentence-transformers/clip-ViT-B-32"
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# configs for compiling model
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input_shapes = {
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"num_channels": 3,
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"height": 224,
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"width": 224,
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"text_batch_size": 3,
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"image_batch_size": 1,
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"sequence_length": 64,
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}
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neuron_model = NeuronModelForSentenceTransformers.from_pretrained(
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model_id, subfolder="0_CLIPModel", export=True, dynamic_batch_size=False, **input_shapes
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)
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# Save locally or upload to the HuggingFace Hub
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save_directory = "clip_emb_neuron/"
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neuron_model.save_pretrained(save_directory)
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# Upload to the HuggingFace Hub
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neuron_model.push_to_hub(
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"clip_emb_neuron/", repository_id="optimum/clip_vit_emb_neuronx" # Replace with your HF Hub repo id
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)
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```
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