How to use nlpconnect/vit-gpt2-image-captioning 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="nlpconnect/vit-gpt2-image-captioning")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("nlpconnect/vit-gpt2-image-captioning") model = AutoModelForMultimodalLM.from_pretrained("nlpconnect/vit-gpt2-image-captioning", device_map="auto")
https://huggingface.co/nlpconnect/vit-gpt2-image-captioning/resolve/dc68f91c06a1ba6f15268e5b9c13ae7a7c514084/vocab.json
hf download hf://nlpconnect/vit-gpt2-image-captioning@dc68f91c06a1ba6f15268e5b9c13ae7a7c514084/vocab.json
curl -L -o vocab.json https://huggingface.co/nlpconnect/vit-gpt2-image-captioning/resolve/dc68f91c06a1ba6f15268e5b9c13ae7a7c514084/vocab.json
