sentence-transformers
ONNX
Safetensors
ColBERT
multi-vector
passage-retrieval
custom_code
🇪🇺 Region: EU
Instructions to use jinaai/jina-colbert-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use jinaai/jina-colbert-v2 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("jinaai/jina-colbert-v2", 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
| { | |
| "_name_or_path": "jinaai/jina-embeddings-v3-xlm-large-pairs-vol5", | |
| "architectures": [ | |
| "HF_ColBERT" | |
| ], | |
| "attention_probs_dropout_prob": 0.1, | |
| "auto_map": { | |
| "AutoConfig": "jinaai/xlm-roberta-flash-implementation--configuration_xlm_roberta.XLMRobertaFlashConfig", | |
| "AutoModel": "jinaai/xlm-roberta-flash-implementation--modeling_xlm_roberta.XLMRobertaModel", | |
| "AutoModelForMaskedLM": "jinaai/xlm-roberta-flash-implementation--modeling_xlm_roberta.XLMRobertaForMaskedLM", | |
| "AutoModelForPreTraining": "jinaai/xlm-roberta-flash-implementation--modeling_xlm_roberta.XLMRobertaForPreTraining" | |
| }, | |
| "bos_token_id": 0, | |
| "classifier_dropout": null, | |
| "emb_pooler": null, | |
| "eos_token_id": 2, | |
| "hidden_act": "gelu", | |
| "hidden_dropout_prob": 0.1, | |
| "hidden_size": 1024, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 4096, | |
| "layer_norm_eps": 1e-05, | |
| "load_trained_adapters": false, | |
| "lora_adaptations": null, | |
| "lora_alpha": 1, | |
| "lora_dropout_p": 0.0, | |
| "lora_main_params_trainable": false, | |
| "lora_prompts": null, | |
| "lora_rank": 4, | |
| "matryoshka_dimensions": null, | |
| "max_position_embeddings": 8194, | |
| "num_attention_heads": 16, | |
| "num_hidden_layers": 24, | |
| "output_past": true, | |
| "pad_token_id": 1, | |
| "position_embedding_type": "rotary", | |
| "rotary_emb_base": 10000.0, | |
| "torch_dtype": "bfloat16", | |
| "transformers_version": "4.43.2", | |
| "truncate_dim": null, | |
| "type_vocab_size": 1, | |
| "use_cache": true, | |
| "use_flash_attn": true, | |
| "vocab_size": 250004 | |
| } |