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
File size: 241 Bytes
bbb4e11 | 1 2 3 4 5 6 7 8 9 10 | {
"transformer_task": "feature-extraction",
"modality_config": {
"text": {
"method": "forward",
"method_output_name": "last_hidden_state"
}
},
"module_output_name": "token_embeddings"
} |