Visual Document Retrieval
Transformers
Safetensors
ColPali
multilingual
qwen2_5_vl
image-text-to-text
vidore
multimodal-embedding
multilingual-embedding
Text-to-Visual Document (T→VD) retrieval
feature-extraction
sentence-similarity
mteb
text-generation-inference
🇪🇺 Region: EU
Instructions to use jinaai/jina-embeddings-v4-vllm-code with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jinaai/jina-embeddings-v4-vllm-code with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForImageTextToText processor = AutoProcessor.from_pretrained("jinaai/jina-embeddings-v4-vllm-code") model = AutoModelForImageTextToText.from_pretrained("jinaai/jina-embeddings-v4-vllm-code") - ColPali
How to use jinaai/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
| { | |
| "bos_token_id": 151643, | |
| "do_sample": true, | |
| "eos_token_id": [ | |
| 151645, | |
| 151643 | |
| ], | |
| "pad_token_id": 151643, | |
| "repetition_penalty": 1.05, | |
| "temperature": 1e-06, | |
| "transformers_version": "4.52.4" | |
| } | |