Visual Document Retrieval
Transformers
Safetensors
ColPali
sentence-transformers
multilingual
feature-extraction
vidore
multimodal-embedding
multilingual-embedding
Text-to-Visual Document (T→VD) retrieval
sentence-similarity
mteb
custom_code
Instructions to use ashrielbrian/jina-embeddings-v4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ashrielbrian/jina-embeddings-v4 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ashrielbrian/jina-embeddings-v4", trust_remote_code=True, device_map="auto") - ColPali
How to use ashrielbrian/jina-embeddings-v4 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
- sentence-transformers
How to use ashrielbrian/jina-embeddings-v4 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("ashrielbrian/jina-embeddings-v4", trust_remote_code=True) sentences = [ "The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3] - Notebooks
- Google Colab
- Kaggle
| { | |
| "do_convert_rgb": true, | |
| "do_normalize": true, | |
| "do_rescale": true, | |
| "do_resize": true, | |
| "image_mean": [ | |
| 0.48145466, | |
| 0.4578275, | |
| 0.40821073 | |
| ], | |
| "image_processor_type": "Qwen2VLImageProcessor", | |
| "image_std": [ | |
| 0.26862954, | |
| 0.26130258, | |
| 0.27577711 | |
| ], | |
| "max_pixels": 602112, | |
| "merge_size": 2, | |
| "min_pixels": 3136, | |
| "patch_size": 14, | |
| "processor_class": "JinaEmbeddingsV4Processor", | |
| "resample": 3, | |
| "rescale_factor": 0.00392156862745098, | |
| "video_processor_type": "Qwen2VLVideoProcessor", | |
| "size": { | |
| "longest_edge": 602112, | |
| "shortest_edge": 3136 | |
| }, | |
| "temporal_patch_size": 2, | |
| "auto_map": { | |
| "AutoProcessor": "modeling_jina_embeddings_v4.JinaEmbeddingsV4Processor" | |
| } | |
| } | |