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 generation_config.json from YaekobB/blip-caption-model: direct link, hf CLI and curl.
- Browser
- Download file 121 Bytes
-
https://huggingface.co/YaekobB/blip-caption-model/resolve/main/generation_config.json
- Command line
-
hf download hf://YaekobB/blip-caption-model/generation_config.json
-
curl -L -o generation_config.json https://huggingface.co/YaekobB/blip-caption-model/resolve/main/generation_config.json
121 Bytes
| { | |
| "_from_model_config": true, | |
| "eos_token_id": [ | |
| 2 | |
| ], | |
| "pad_token_id": 0, | |
| "transformers_version": "4.56.0" | |
| } | |