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, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("atasoglu/vit-gpt2-flickr8k") model = AutoModelForMultimodalLM.from_pretrained("atasoglu/vit-gpt2-flickr8k") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c00df5ff697e7a024c77845da41d82dedef9cc0a9371a9da299eb006d49ce1f9
- Size of remote file:
- 3.77 kB
- SHA256:
- a9f4719ce7b99e7ec68363951d4f860c5865d1409d706dff046d66968b7b36d9
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