Image-to-Text
Transformers
PyTorch
Safetensors
English
vision-encoder-decoder
image-text-to-text
image
vision
Instructions to use atasoglu/vit-gpt2-flickr8k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use atasoglu/vit-gpt2-flickr8k 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="atasoglu/vit-gpt2-flickr8k")# Load model directly from transformers import AutoTokenizer, AutoModelForImageTextToText tokenizer = AutoTokenizer.from_pretrained("atasoglu/vit-gpt2-flickr8k") model = AutoModelForImageTextToText.from_pretrained("atasoglu/vit-gpt2-flickr8k") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dfb6a5f55887b86619ef298767eb55824bf6c434e450c04ca36ee3a110ec6e48
- Size of remote file:
- 982 MB
- SHA256:
- 780dbc21c70b63f02be8188600b42c2e7638e86af31f7b57e75348cd7524a462
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