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');
| { | |
| "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" | |
| } | |
| } |