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
vllm
custom_code
🇪🇺 Region: EU
Instructions to use jinaai/jina-embeddings-v4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jinaai/jina-embeddings-v4 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("jinaai/jina-embeddings-v4", trust_remote_code=True, device_map="auto") - ColPali
How to use jinaai/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 jinaai/jina-embeddings-v4 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("jinaai/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
Download chat_template.json from jinaai/jina-embeddings-v4: direct link, hf CLI and curl.
- Browser
- Download file 1.05 kB
-
https://huggingface.co/jinaai/jina-embeddings-v4/resolve/refs%2Fpr%2F21/chat_template.json
- Command line
-
hf download hf://jinaai/jina-embeddings-v4@refs/pr/21/chat_template.json
-
curl -L -o chat_template.json https://huggingface.co/jinaai/jina-embeddings-v4/resolve/refs%2Fpr%2F21/chat_template.json
1.05 kB
| { | |
| "chat_template": "{% set image_count = namespace(value=0) %}{% set video_count = namespace(value=0) %}{% for message in messages %}{% if loop.first and message['role'] != 'system' %}<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n{% endif %}<|im_start|>{{ message['role'] }}\n{% if message['content'] is string %}{{ message['content'] }}<|im_end|>\n{% else %}{% for content in message['content'] %}{% if content['type'] == 'image' or 'image' in content or 'image_url' in content %}{% set image_count.value = image_count.value + 1 %}{% if add_vision_id %}Picture {{ image_count.value }}: {% endif %}<|vision_start|><|image_pad|><|vision_end|>{% elif content['type'] == 'video' or 'video' in content %}{% set video_count.value = video_count.value + 1 %}{% if add_vision_id %}Video {{ video_count.value }}: {% endif %}<|vision_start|><|video_pad|><|vision_end|>{% elif 'text' in content %}{{ content['text'] }}{% endif %}{% endfor %}<|im_end|>\n{% endif %}{% endfor %}{% if add_generation_prompt %}<|im_start|>assistant\n{% endif %}" | |
| } | |