Image-to-Text
Transformers
PyTorch
Safetensors
vision-encoder-decoder
image-text-to-text
image-captioning
Instructions to use bipin/image-caption-generator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bipin/image-caption-generator 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="bipin/image-caption-generator")# Load model directly from transformers import AutoTokenizer, AutoModelForImageTextToText tokenizer = AutoTokenizer.from_pretrained("bipin/image-caption-generator") model = AutoModelForImageTextToText.from_pretrained("bipin/image-caption-generator") - Notebooks
- Google Colab
- Kaggle
Error when testing API
#2
by DoubleGe - opened
When upload an image in the model page, I got the following output:
Can't load tokenizer using from_pretrained, please update its configuration: <class 'transformers.models.vision_encoder_decoder.configuration_vision_encoder_decoder.VisionEncoderDecoderConfig'>
bipin changed discussion status to closed