---
license: apache-2.0
---

**INFERENTIA ONLY**

Exported with:

```python
from optimum.neuron import NeuronModelForSentenceTransformers

# [Compile]
model_id = "sentence-transformers/clip-ViT-B-32"

# configs for compiling model
input_shapes = {
    "num_channels": 3,
    "height": 224,
    "width": 224,
    "text_batch_size": 3,
    "image_batch_size": 1,
    "sequence_length": 64,
}

neuron_model = NeuronModelForSentenceTransformers.from_pretrained(
    model_id, subfolder="0_CLIPModel", export=True, dynamic_batch_size=False, **input_shapes
)

# Save locally or upload to the HuggingFace Hub
save_directory = "clip_emb_neuron/"
neuron_model.save_pretrained(save_directory)

# Upload to the HuggingFace Hub
neuron_model.push_to_hub(
    "clip_emb_neuron/", repository_id="optimum/clip_vit_emb_neuronx"  # Replace with your HF Hub repo id
)
```