Instructions to use alphaedge-ai/metaclip-2-worldwide-m16-384-fil-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-m16-384-fil-16384 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("alphaedge-ai/metaclip-2-worldwide-m16-384-fil-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
File size: 1,132 Bytes
2d6b417 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 | {
"architectures": [
"MetaClip2Model"
],
"dtype": "float32",
"initializer_factor": 1.0,
"logit_scale_init_value": 2.6592,
"model_type": "metaclip_2",
"projection_dim": 512,
"text_config": {
"attention_dropout": 0.0,
"eos_token_id": 2,
"hidden_act": "gelu",
"hidden_size": 512,
"initializer_factor": 1.0,
"initializer_range": 0.02,
"intermediate_size": 2048,
"layer_norm_eps": 1e-05,
"max_position_embeddings": 77,
"model_type": "metaclip_2_text_model",
"num_attention_heads": 8,
"num_hidden_layers": 12,
"projection_dim": 512,
"vocab_size": 16384
},
"transformers_version": "4.57.1",
"vision_config": {
"attention_dropout": 0.0,
"hidden_act": "gelu",
"hidden_size": 512,
"image_size": 384,
"initializer_factor": 1.0,
"initializer_range": 0.02,
"intermediate_size": 2048,
"layer_norm_eps": 1e-05,
"model_type": "metaclip_2_vision_model",
"num_attention_heads": 8,
"num_channels": 3,
"num_hidden_layers": 12,
"patch_size": 16,
"projection_dim": 512
}
} |