Image-to-Text
Transformers
Safetensors
English
blip
image-text-to-text
icon-description
image-captioning
🇪🇺 Region: EU
Instructions to use macpaw-research/blip-icon-captioning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use macpaw-research/blip-icon-captioning with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "image-to-text" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("image-to-text", model="macpaw-research/blip-icon-captioning")# Load model directly from transformers import AutoProcessor, AutoModelForImageTextToText processor = AutoProcessor.from_pretrained("macpaw-research/blip-icon-captioning") model = AutoModelForImageTextToText.from_pretrained("macpaw-research/blip-icon-captioning") - Notebooks
- Google Colab
- Kaggle
| { | |
| "architectures": [ | |
| "BlipForConditionalGeneration" | |
| ], | |
| "image_text_hidden_size": 256, | |
| "initializer_factor": 1.0, | |
| "initializer_range": 0.02, | |
| "label_smoothing": 0.0, | |
| "logit_scale_init_value": 2.6592, | |
| "model_type": "blip", | |
| "projection_dim": 512, | |
| "text_config": { | |
| "attention_probs_dropout_prob": 0.0, | |
| "encoder_hidden_size": 768, | |
| "hidden_act": "gelu", | |
| "hidden_dropout_prob": 0.0, | |
| "hidden_size": 768, | |
| "initializer_factor": 1.0, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 3072, | |
| "label_smoothing": 0.0, | |
| "layer_norm_eps": 1e-12, | |
| "max_position_embeddings": 512, | |
| "model_type": "blip_text_model", | |
| "num_attention_heads": 12, | |
| "num_hidden_layers": 12, | |
| "projection_dim": 768, | |
| "torch_dtype": "float32", | |
| "use_cache": true, | |
| "vocab_size": 30524 | |
| }, | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.53.2", | |
| "vision_config": { | |
| "attention_dropout": 0.0, | |
| "dropout": 0.0, | |
| "hidden_act": "gelu", | |
| "hidden_size": 768, | |
| "image_size": 384, | |
| "initializer_factor": 1.0, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 3072, | |
| "layer_norm_eps": 1e-05, | |
| "model_type": "blip_vision_model", | |
| "num_attention_heads": 12, | |
| "num_channels": 3, | |
| "num_hidden_layers": 12, | |
| "patch_size": 16, | |
| "projection_dim": 512, | |
| "torch_dtype": "float32" | |
| } | |
| } | |