Instructions to use alphaedge-ai/metaclip-2-worldwide-giant-378-hat-16384 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use alphaedge-ai/metaclip-2-worldwide-giant-378-hat-16384 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("alphaedge-ai/metaclip-2-worldwide-giant-378-hat-16384") 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": [ | |
| "MetaClip2Model" | |
| ], | |
| "initializer_factor": 1.0, | |
| "logit_scale_init_value": 2.6592, | |
| "model_type": "metaclip_2", | |
| "projection_dim": 1280, | |
| "text_config": { | |
| "attention_dropout": 0.0, | |
| "eos_token_id": 2, | |
| "hidden_act": "gelu", | |
| "hidden_size": 1280, | |
| "initializer_factor": 1.0, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 5120, | |
| "layer_norm_eps": 1e-05, | |
| "max_position_embeddings": 77, | |
| "model_type": "metaclip_2_text_model", | |
| "num_attention_heads": 20, | |
| "num_hidden_layers": 32, | |
| "projection_dim": 1280, | |
| "vocab_size": 16384 | |
| }, | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.56.0.dev0", | |
| "vision_config": { | |
| "attention_dropout": 0.0, | |
| "hidden_act": "gelu", | |
| "hidden_size": 1664, | |
| "image_size": 378, | |
| "initializer_factor": 1.0, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 8192, | |
| "layer_norm_eps": 1e-05, | |
| "model_type": "metaclip_2_vision_model", | |
| "num_attention_heads": 16, | |
| "num_channels": 3, | |
| "num_hidden_layers": 48, | |
| "patch_size": 14, | |
| "projection_dim": 1280 | |
| } | |
| } |