Feature Extraction
ONNX
ColPali
multilingual
code
onnxruntime
vidore
multimodal-embedding
multilingual-embedding
code-retrieval
code-search
sentence-similarity
mteb
Instructions to use Prince-1/jina-embeddings-v4-vllm-code with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ColPali
How to use Prince-1/jina-embeddings-v4-vllm-code with ColPali:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
File size: 350 Bytes
73f6615 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 | {
"min_pixels": 3136,
"max_pixels": 12845056,
"patch_size": 14,
"temporal_patch_size": 2,
"merge_size": 2,
"image_mean": [
0.48145466,
0.4578275,
0.40821073
],
"image_std": [
0.26862954,
0.26130258,
0.27577711
],
"image_processor_type": "Qwen2VLImageProcessor",
"processor_class": "Qwen2_5_VLProcessor"
} |