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: 624 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 | {
"backend": "tokenizers",
"bos_token": "<|begin_of_text|>",
"clean_up_tokenization_spaces": true,
"eos_token": "<|end_of_text|>",
"is_local": false,
"mask_token": "<|mask|>",
"max_length": null,
"model_input_names": [
"input_ids",
"attention_mask"
],
"model_max_length": 1000000000000000019884624838656,
"pad_to_multiple_of": null,
"pad_token": "<|pad|>",
"pad_token_type_id": 0,
"padding_side": "right",
"processor_class": "LlavaEuroBertProcessor",
"tokenizer_class": "TokenizersBackend",
"auto_map": {
"AutoProcessor": "processing_llava_eurobert.LlavaEuroBertProcessor"
}
} |