Visual Document Retrieval
Transformers
Safetensors
ColPali
sentence-transformers
multilingual
image-feature-extraction
vidore
multimodal-embedding
multilingual-embedding
Text-to-Visual Document (T→VD) retrieval
feature-extraction
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, dtype="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
File size: 2,751 Bytes
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"_name_or_path": "jinaai/jina-embeddings-v4",
"architectures": [
"JinaEmbeddingsV4Model"
],
"auto_map": {
"AutoConfig": "configuration_jina_embeddings_v4.JinaEmbeddingsV4Config",
"AutoModel": "modeling_jina_embeddings_v4.JinaEmbeddingsV4Model"
},
"attention_dropout": 0.0,
"bos_token_id": 151643,
"eos_token_id": 151645,
"hidden_act": "silu",
"hidden_size": 2048,
"image_token_id": 151655,
"initializer_range": 0.02,
"intermediate_size": 11008,
"max_position_embeddings": 128000,
"max_window_layers": 70,
"multi_vector_projector_dim": 128,
"num_attention_heads": 16,
"num_hidden_layers": 36,
"num_key_value_heads": 2,
"rms_norm_eps": 1e-06,
"rope_scaling": {
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16,
24,
24
],
"rope_type": "default",
"type": "default"
},
"rope_theta": 1000000.0,
"single_vector_pool_strategy": "mean",
"sliding_window": 32768,
"tie_word_embeddings": true,
"text_config": {
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"eos_token_id": 151645,
"hidden_act": "silu",
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"initializer_range": 0.02,
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],
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},
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},
"torch_dtype": "bfloat16",
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"use_cache": true,
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"video_token_id": 151656,
"vision_config": {
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],
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"spatial_merge_size": 2,
"spatial_patch_size": 14,
"temporal_patch_size": 2,
"tokens_per_second": 2,
"torch_dtype": "bfloat16",
"window_size": 112
},
"task_names": ["retrieval", "text-matching", "code"],
"matryoshka_dims": [128, 256, 512, 1024, 2048],
"_attn_implementation": "flash_attention_2",
"truncate_dim": null,
"vision_end_token_id": 151653,
"vision_start_token_id": 151652,
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}
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