Image-to-Text
Transformers
Safetensors
PyTorch
blip
image-text-to-text
image-captioning
vision-language-model
multimodal-ai
computer-vision
deep-learning
Instructions to use YaekobB/blip-caption-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use YaekobB/blip-caption-model 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="YaekobB/blip-caption-model")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("YaekobB/blip-caption-model") model = AutoModelForMultimodalLM.from_pretrained("YaekobB/blip-caption-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download config.json from YaekobB/blip-caption-model: direct link, hf CLI and curl.
- Browser
- Download file 1.37 kB
-
https://huggingface.co/YaekobB/blip-caption-model/resolve/main/config.json
- Command line
-
hf download hf://YaekobB/blip-caption-model/config.json
-
curl -L -o config.json https://huggingface.co/YaekobB/blip-caption-model/resolve/main/config.json
1.37 kB
| { | |
| "architectures": [ | |
| "BlipForConditionalGeneration" | |
| ], | |
| "dtype": "float32", | |
| "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", | |
| "pad_token_id": 0, | |
| "projection_dim": 512, | |
| "text_config": { | |
| "attention_probs_dropout_prob": 0.4, | |
| "dtype": "float32", | |
| "encoder_hidden_size": 768, | |
| "hidden_act": "gelu", | |
| "hidden_dropout_prob": 0.4, | |
| "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, | |
| "use_cache": true, | |
| "vocab_size": 30524 | |
| }, | |
| "transformers_version": "4.56.0", | |
| "vision_config": { | |
| "attention_dropout": 0.0, | |
| "dropout": 0.0, | |
| "dtype": "float32", | |
| "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 | |
| } | |
| } | |