Instructions to use BABILOON/image_captioning_1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BABILOON/image_captioning_1 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="BABILOON/image_captioning_1")# Load model directly from transformers import AutoTokenizer, AutoModelForImageTextToText tokenizer = AutoTokenizer.from_pretrained("BABILOON/image_captioning_1") model = AutoModelForImageTextToText.from_pretrained("BABILOON/image_captioning_1") - Notebooks
- Google Colab
- Kaggle
Error
#1
by OFT - opened
BABILOON/image_captioning_1 does not appear to have a file named preprocessor_config.json. Checkout 'https://huggingface.co/BABILOON/image_captioning_1/4a81a386d6d9d8f829738afeb3cda20474068df8' for available files.