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")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("atasoglu/vit-gpt2-flickr8k") model = AutoModelForMultimodalLM.from_pretrained("atasoglu/vit-gpt2-flickr8k", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from atasoglu/vit-gpt2-flickr8k: direct link, hf CLI and curl.
- Browser
- Download file 2.11 MB
-
https://huggingface.co/atasoglu/vit-gpt2-flickr8k/resolve/main/tokenizer.json
- Command line
-
hf download hf://atasoglu/vit-gpt2-flickr8k/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/atasoglu/vit-gpt2-flickr8k/resolve/main/tokenizer.json
2.11 MB
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