Sentence Similarity
sentence-transformers
Safetensors
Transformers
qwen3_vl
image-text-to-text
multimodal embedding
qwen
embedding
Instructions to use abdebug2003/qwen3-vl-embedding-endpoint with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use abdebug2003/qwen3-vl-embedding-endpoint with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("abdebug2003/qwen3-vl-embedding-endpoint") sentences = [ "That is a happy person", "That is a happy dog", "That is a very happy person", "Today is a sunny day" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Transformers
How to use abdebug2003/qwen3-vl-embedding-endpoint with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("abdebug2003/qwen3-vl-embedding-endpoint") model = AutoModelForMultimodalLM.from_pretrained("abdebug2003/qwen3-vl-embedding-endpoint", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 817 Bytes
ea57de7 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 | {
"crop_size": null,
"data_format": "channels_first",
"default_to_square": true,
"device": null,
"do_center_crop": null,
"do_convert_rgb": true,
"do_normalize": true,
"do_rescale": true,
"do_resize": true,
"do_sample_frames": true,
"fps": 2,
"image_mean": [
0.5,
0.5,
0.5
],
"image_std": [
0.5,
0.5,
0.5
],
"input_data_format": null,
"max_frames": 768,
"merge_size": 2,
"min_frames": 4,
"num_frames": null,
"pad_size": null,
"patch_size": 16,
"processor_class": "Qwen3VLProcessor",
"resample": 3,
"rescale_factor": 0.00392156862745098,
"return_metadata": false,
"size": {
"longest_edge": 25165824,
"shortest_edge": 4096
},
"temporal_patch_size": 2,
"video_metadata": null,
"video_processor_type": "Qwen3VLVideoProcessor"
}
|