Sentence Similarity
Safetensors
GGUF
sentence-transformers
multilingual
llama.cpp
eurobert
embedding
llama-cpp
jina-embeddings-v5
feature-extraction
mteb
vllm
custom_code
Instructions to use noname002/jina-embeddings-v5-text-nano-retrieval-mc4-vi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use noname002/jina-embeddings-v5-text-nano-retrieval-mc4-vi with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("noname002/jina-embeddings-v5-text-nano-retrieval-mc4-vi", trust_remote_code=True) 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
| { | |
| "architectures": [ | |
| "EuroBertModel" | |
| ], | |
| "attention_bias": false, | |
| "attention_dropout": 0.0, | |
| "auto_map": { | |
| "AutoConfig": "configuration_eurobert.EuroBertConfig", | |
| "AutoModel": "modeling_eurobert.EuroBertModel", | |
| "AutoModelForMaskedLM": "modeling_eurobert.EuroBertForMaskedLM" | |
| }, | |
| "bos_token": "<|begin_of_text|>", | |
| "bos_token_id": 33717, | |
| "classifier_pooling": "late", | |
| "clf_pooling": "late", | |
| "dtype": "bfloat16", | |
| "eos_token": "<|end_of_text|>", | |
| "eos_token_id": 33718, | |
| "head_dim": 64, | |
| "hidden_act": "silu", | |
| "hidden_dropout": 0.0, | |
| "hidden_size": 768, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 3072, | |
| "is_decoder": false, | |
| "mask_token": "<|mask|>", | |
| "mask_token_id": 33719, | |
| "max_position_embeddings": 8192, | |
| "mlp_bias": false, | |
| "model_type": "eurobert", | |
| "num_attention_heads": 12, | |
| "num_hidden_layers": 12, | |
| "num_key_value_heads": 12, | |
| "pad_token": "<|end_of_text|>", | |
| "pad_token_id": 33718, | |
| "pretraining_tp": 1, | |
| "rms_norm_eps": 1e-05, | |
| "rope_parameters": { | |
| "factor": 1.0, | |
| "rope_theta": 1000000, | |
| "rope_type": "default" | |
| }, | |
| "task_names": [ | |
| "retrieval", | |
| "text-matching", | |
| "clustering", | |
| "classification" | |
| ], | |
| "tie_word_embeddings": false, | |
| "transformers.js_config": { | |
| "use_external_data_format": true | |
| }, | |
| "transformers_version": "5.5.4", | |
| "use_cache": false, | |
| "vocab_size": 34048, | |
| "vocabtrimmer": { | |
| "mining_config": { | |
| "dataset": [ | |
| "minhnguyent546/mc4-vi" | |
| ], | |
| "dataset_column": [ | |
| "text", | |
| "pos" | |
| ], | |
| "dataset_split": "validation", | |
| "min_frequency": 20, | |
| "subset": null, | |
| "target_vocab_size": null | |
| }, | |
| "stats": { | |
| "compression_rate_embedding": 26.546906187624753, | |
| "compression_rate_full": 65.83411003963923, | |
| "parameter_size_embedding/raw": 98500608, | |
| "parameter_size_embedding/trimmed": 26148864, | |
| "parameter_size_full/raw": 211766016, | |
| "parameter_size_full/trimmed": 139414272, | |
| "vocab_size/raw": 128256, | |
| "vocab_size/trimmed": 34048 | |
| } | |
| } | |
| } | |