Image Classification
Transformers
Safetensors
English
metaclip_2
text-generation-inference
open-scene
Instructions to use prithivMLmods/MetaCLIP-2-Open-Scene with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use prithivMLmods/MetaCLIP-2-Open-Scene with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="prithivMLmods/MetaCLIP-2-Open-Scene") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoProcessor, AutoModelForImageClassification processor = AutoProcessor.from_pretrained("prithivMLmods/MetaCLIP-2-Open-Scene") model = AutoModelForImageClassification.from_pretrained("prithivMLmods/MetaCLIP-2-Open-Scene", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 1,468 Bytes
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"architectures": [
"MetaClip2ForImageClassification"
],
"dtype": "float32",
"id2label": {
"0": "buildings",
"1": "forest",
"2": "glacier",
"3": "mountain",
"4": "sea",
"5": "street"
},
"initializer_factor": 1.0,
"label2id": {
"buildings": 0,
"forest": 1,
"glacier": 2,
"mountain": 3,
"sea": 4,
"street": 5
},
"logit_scale_init_value": 2.6592,
"model_type": "metaclip_2",
"problem_type": "single_label_classification",
"projection_dim": 384,
"text_config": {
"attention_dropout": 0.0,
"dtype": "float32",
"eos_token_id": 2,
"hidden_act": "gelu",
"hidden_size": 384,
"initializer_factor": 1.0,
"initializer_range": 0.02,
"intermediate_size": 1536,
"layer_norm_eps": 1e-05,
"max_position_embeddings": 77,
"model_type": "metaclip_2_text_model",
"num_attention_heads": 6,
"num_hidden_layers": 12,
"projection_dim": 384,
"vocab_size": 901629
},
"transformers_version": "4.57.1",
"vision_config": {
"attention_dropout": 0.0,
"dtype": "float32",
"hidden_act": "gelu",
"hidden_size": 384,
"image_size": 224,
"initializer_factor": 1.0,
"initializer_range": 0.02,
"intermediate_size": 1536,
"layer_norm_eps": 1e-05,
"model_type": "metaclip_2_vision_model",
"num_attention_heads": 6,
"num_channels": 3,
"num_hidden_layers": 12,
"patch_size": 16,
"projection_dim": 384
}
}
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