Image Classification
Transformers
PyTorch
English
vision-encoder-decoder
image-text-to-text
image-captioning
Instructions to use deepklarity/poster2plot with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use deepklarity/poster2plot with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="deepklarity/poster2plot") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoTokenizer, AutoModelForImageTextToText tokenizer = AutoTokenizer.from_pretrained("deepklarity/poster2plot") model = AutoModelForImageTextToText.from_pretrained("deepklarity/poster2plot") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1 opened almost 3 years ago
by
SFconvertbot