Instructions to use ayushrupapara/vit-gpt2-flickr8k-image-captioner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ayushrupapara/vit-gpt2-flickr8k-image-captioner 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="ayushrupapara/vit-gpt2-flickr8k-image-captioner")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ayushrupapara/vit-gpt2-flickr8k-image-captioner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download vocab.json from ayushrupapara/vit-gpt2-flickr8k-image-captioner: direct link, hf CLI and curl.
- Browser
- Download file 798 kB
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https://huggingface.co/ayushrupapara/vit-gpt2-flickr8k-image-captioner/resolve/main/vocab.json
- Command line
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hf download hf://ayushrupapara/vit-gpt2-flickr8k-image-captioner/vocab.json
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curl -L -o vocab.json https://huggingface.co/ayushrupapara/vit-gpt2-flickr8k-image-captioner/resolve/main/vocab.json
798 kB
File too large to display, you can check the raw version instead.