Feature Extraction
Transformers.js
ONNX
multilingual
jina_embeddings_v5_omni
sentence-similarity
multimodal
cross-modal-retrieval
webgpu
jina-embeddings
embeddings
custom_code
Instructions to use splatoonWooo/jina-embeddings-v5-omni-nano-ONNX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers.js
How to use splatoonWooo/jina-embeddings-v5-omni-nano-ONNX with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('feature-extraction', 'splatoonWooo/jina-embeddings-v5-omni-nano-ONNX');
File size: 2,415 Bytes
4d7148d | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 | {
"architectures": [
"JinaEmbeddingsV5OmniModel"
],
"auto_map": {
"AutoConfig": "modeling_jina_embeddings_v5_omni.JinaEmbeddingsV5OmniConfig",
"AutoModel": "modeling_jina_embeddings_v5_omni.JinaEmbeddingsV5OmniModel"
},
"model_type": "jina_embeddings_v5_omni",
"task_names": [
"retrieval",
"text-matching",
"clustering",
"classification"
],
"special_token_ids": [
128256,
128257,
128258,
128259
],
"vision_config": {
"deepstack_visual_indexes": [],
"depth": 12,
"dtype": "bfloat16",
"hidden_act": "gelu_pytorch_tanh",
"hidden_size": 768,
"in_channels": 3,
"initializer_range": 0.02,
"intermediate_size": 3072,
"model_type": "",
"num_heads": 12,
"num_position_embeddings": 2304,
"out_hidden_size": 1024,
"patch_size": 16,
"spatial_merge_size": 2,
"temporal_patch_size": 2
},
"text_config": {
"attention_bias": false,
"attention_dropout": 0.0,
"bos_token_id": 1,
"eos_token_id": 2,
"head_dim": 64,
"hidden_act": "silu",
"hidden_size": 768,
"initializer_range": 0.02,
"intermediate_size": 3072,
"is_causal": false,
"max_position_embeddings": 8192,
"mlp_bias": false,
"model_type": "",
"num_attention_heads": 12,
"num_hidden_layers": 12,
"num_key_value_heads": 12,
"pad_token_id": null,
"pretraining_tp": 1,
"rms_norm_eps": 1e-05,
"rope_parameters": {
"rope_theta": 1000000.0,
"rope_type": "default"
},
"tie_word_embeddings": false,
"vocab_size": 128260
},
"audio_config": {
"activation_dropout": 0.0,
"activation_function": "gelu",
"attention_dropout": 0.0,
"d_model": 1280,
"dropout": 0.0,
"dtype": "float32",
"encoder_attention_heads": 20,
"encoder_ffn_dim": 5120,
"encoder_layers": 32,
"initializer_range": 0.02,
"max_source_positions": 1500,
"num_mel_bins": 128,
"scale_embedding": false,
"n_window": 100,
"output_dim": 3584
},
"image_token_index": 128259,
"audio_token_id": 128256,
"audio_start_token_id": 128257,
"audio_end_token_id": 128258,
"projector_hidden_act": "gelu",
"tie_word_embeddings": false,
"dtype": "bfloat16",
"transformers_version": "5.4.0",
"torch_dtype": "bfloat16",
"is_matryoshka": true,
"matryoshka_dimensions": [
32,
64,
128,
256,
512,
768
]
} |