Image-to-Text
Transformers
PyTorch
English
llava
text-generation
Image-to-Text
Visual Question Answering
Text2Text Generation
Instructions to use prometheus-eval/prometheus-vision-13b-v1.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use prometheus-eval/prometheus-vision-13b-v1.0 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="prometheus-eval/prometheus-vision-13b-v1.0")# Load model directly from transformers import AutoProcessor, AutoModelForCausalLM processor = AutoProcessor.from_pretrained("prometheus-eval/prometheus-vision-13b-v1.0") model = AutoModelForCausalLM.from_pretrained("prometheus-eval/prometheus-vision-13b-v1.0", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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## Links for Reference
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- **Homepage:**
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- **Repository: https://github.com/kaistAI/prometheus-vision**
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- **Paper: https://arxiv.org/abs/2401.06591**
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- **Point of Contact: seongyun@kaist.ac.kr**
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## Links for Reference
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- **Homepage: https://kaistai.github.io/prometheus-vision/**
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- **Repository: https://github.com/kaistAI/prometheus-vision**
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- **Paper: https://arxiv.org/abs/2401.06591**
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- **Point of Contact: seongyun@kaist.ac.kr**
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