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
Download preprocessor_config.json from abdebug2003/qwen3-vl-embedding-endpoint: direct link, hf CLI and curl.
- Browser
- Download file 784 Bytes
-
https://huggingface.co/abdebug2003/qwen3-vl-embedding-endpoint/resolve/main/preprocessor_config.json
- Command line
-
hf download hf://abdebug2003/qwen3-vl-embedding-endpoint/preprocessor_config.json
-
curl -L -o preprocessor_config.json https://huggingface.co/abdebug2003/qwen3-vl-embedding-endpoint/resolve/main/preprocessor_config.json
784 Bytes
| { | |
| "crop_size": null, | |
| "data_format": "channels_first", | |
| "default_to_square": true, | |
| "device": null, | |
| "disable_grouping": null, | |
| "do_center_crop": null, | |
| "do_convert_rgb": true, | |
| "do_normalize": true, | |
| "do_pad": null, | |
| "do_rescale": true, | |
| "do_resize": true, | |
| "image_mean": [ | |
| 0.5, | |
| 0.5, | |
| 0.5 | |
| ], | |
| "image_processor_type": "Qwen2VLImageProcessorFast", | |
| "image_std": [ | |
| 0.5, | |
| 0.5, | |
| 0.5 | |
| ], | |
| "input_data_format": null, | |
| "max_pixels": 1310720, | |
| "merge_size": 2, | |
| "min_pixels": 4096, | |
| "pad_size": null, | |
| "patch_size": 16, | |
| "processor_class": "Qwen3VLProcessor", | |
| "resample": 3, | |
| "rescale_factor": 0.00392156862745098, | |
| "return_tensors": null, | |
| "size": { | |
| "longest_edge": 1310720, | |
| "shortest_edge": 4096 | |
| }, | |
| "temporal_patch_size": 2 | |
| } | |