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lloydchristmasx/Qwen3-VL-Embedding-8B
Qwen3-VL-Embedding-8B is a feature extraction model from lloydchristmasx. Use it when you need embeddings to search or compare text. It is set up for transformers. The card lists the license as apache-2.0.
This is a deployment-ready version of Qwen/Qwen3-VL-Embedding-8B with a custom handler for Hugging Face Inference Endpoints.
Downloads · 30 days
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.json14.2 MB · 89%
From the Hugging Face model README
This is a deployment-ready version of Qwen/Qwen3-VL-Embedding-8B with a custom handler for Hugging Face Inference Endpoints.
Deploy this model on HF Inference Endpoints - it will automatically use the custom handler.
Text embeddings:
import requests
API_URL = "https://your-endpoint-url.endpoints.huggingface.cloud"
headers = {"Authorization": "Bearer YOUR_HF_TOKEN"}
response = requests.post(API_URL, headers=headers, json={
"inputs": "Hello, world!"
})
print(response.json())
Image + Text embeddings:
response = requests.post(API_URL, headers=headers, json={
"inputs": {
"text": "A photo of a cat",
"image": "https://example.com/cat.jpg"
}
})
Batch embeddings:
response = requests.post(API_URL, headers=headers, json={
"inputs": [
{"text": "First text"},
{"text": "Second text", "image": "https://example.com/image.jpg"}
]
})