Text Classification
ONNX
GGUF
sentence-transformers
multilingual
llama.cpp
qwen3
embedding
llama-cpp
jina-embeddings-v5
feature-extraction
mteb
vllm
text-embeddings-inference
Instructions to use TonitoMC/jina-embeddings-v5-text-small-classification-onnx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use TonitoMC/jina-embeddings-v5-text-small-classification-onnx with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("TonitoMC/jina-embeddings-v5-text-small-classification-onnx") 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
| { | |
| "__version__": { | |
| "pytorch": "2.11.0+cpu", | |
| "sentence_transformers": "5.4.1", | |
| "transformers": "4.51.0" | |
| }, | |
| "default_prompt_name": "document", | |
| "model_type": "SentenceTransformer", | |
| "prompts": { | |
| "document": "Document: ", | |
| "query": "" | |
| }, | |
| "similarity_fn_name": "cosine" | |
| } |