Instructions to use royokong/e5-v with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use royokong/e5-v with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("royokong/e5-v") sentences = [ "That is a happy person", "That is a happy dog", "That is a very happy person", "Today is a sunny day" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
| { | |
| "_name_or_path": "merged-e5-v-8b", | |
| "architectures": [ | |
| "LlavaNextForConditionalGeneration" | |
| ], | |
| "ignore_index": -100, | |
| "image_grid_pinpoints": [ | |
| [ | |
| 336, | |
| 672 | |
| ], | |
| [ | |
| 672, | |
| 336 | |
| ], | |
| [ | |
| 672, | |
| 672 | |
| ], | |
| [ | |
| 1008, | |
| 336 | |
| ], | |
| [ | |
| 336, | |
| 1008 | |
| ] | |
| ], | |
| "image_token_index": 128256, | |
| "model_type": "llava_next", | |
| "projector_hidden_act": "gelu", | |
| "text_config": { | |
| "_name_or_path": "unsloth/llama-3-8b-Instruct", | |
| "architectures": [ | |
| "LlamaForCausalLM" | |
| ], | |
| "bos_token_id": 128000, | |
| "eos_token_id": 128009, | |
| "intermediate_size": 14336, | |
| "max_position_embeddings": 8192, | |
| "model_type": "llama", | |
| "num_key_value_heads": 8, | |
| "rms_norm_eps": 1e-05, | |
| "rope_theta": 500000.0, | |
| "torch_dtype": "bfloat16", | |
| "vocab_size": 128320 | |
| }, | |
| "tie_word_embeddings": false, | |
| "torch_dtype": "float16", | |
| "transformers_version": "4.41.2", | |
| "use_image_newline_parameter": true, | |
| "vision_config": { | |
| "hidden_size": 1024, | |
| "image_size": 336, | |
| "intermediate_size": 4096, | |
| "model_type": "clip_vision_model", | |
| "num_attention_heads": 16, | |
| "num_hidden_layers": 24, | |
| "patch_size": 14, | |
| "projection_dim": 768, | |
| "vocab_size": 32000 | |
| }, | |
| "vision_feature_layer": -2, | |
| "vision_feature_select_strategy": "default", | |
| "vocab_size": 32064 | |
| } | |