Instructions to use Rarsta/clip_ejemplo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Rarsta/clip_ejemplo with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-image-classification", model="Rarsta/clip_ejemplo") pipe( "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png", candidate_labels=["animals", "humans", "landscape"], )# Load model directly from transformers import AutoProcessor, AutoModelForZeroShotImageClassification processor = AutoProcessor.from_pretrained("Rarsta/clip_ejemplo") model = AutoModelForZeroShotImageClassification.from_pretrained("Rarsta/clip_ejemplo") - Notebooks
- Google Colab
- Kaggle
File size: 2,128 Bytes
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"architectures": [
"CLIPModel"
],
"dtype": "float32",
"initializer_factor": 1.0,
"logit_scale_init_value": 2.6592,
"model_type": "clip",
"projection_dim": 512,
"text_config": {
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"hidden_act": "quick_gelu",
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"intermediate_size": 2048,
"is_decoder": false,
"layer_norm_eps": 1e-05,
"max_position_embeddings": 77,
"model_type": "clip_text_model",
"num_attention_heads": 8,
"num_hidden_layers": 12,
"pad_token_id": 1,
"prefix": null,
"projection_dim": 512,
"pruned_heads": {},
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"tie_encoder_decoder": false,
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"torchscript": false,
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"vocab_size": 49408
},
"transformers_version": "5.0.0",
"vision_config": {
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"hidden_act": "quick_gelu",
"hidden_size": 768,
"image_size": 224,
"initializer_factor": 1.0,
"initializer_range": 0.02,
"intermediate_size": 3072,
"is_decoder": false,
"layer_norm_eps": 1e-05,
"model_type": "clip_vision_model",
"num_attention_heads": 12,
"num_channels": 3,
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"tie_encoder_decoder": false,
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"torchscript": false,
"use_bfloat16": false
}
}
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