Image-to-Text
Transformers
PyTorch
English
llava
text-generation
visual-question-answering
image-captioning
Instructions to use kaist-ai/volcano-7b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kaist-ai/volcano-7b 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="kaist-ai/volcano-7b")# Load model directly from transformers import AutoProcessor, AutoModelForCausalLM processor = AutoProcessor.from_pretrained("kaist-ai/volcano-7b") model = AutoModelForCausalLM.from_pretrained("kaist-ai/volcano-7b", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c76a72a1ce8a6c0f6bfb5e951b6596daee69d203100e59076add59113db64e61
- Size of remote file:
- 6.39 kB
- SHA256:
- 343284e4996419c9487bf32ad2e45c30bcd0bee76c451bd74de3f27872290cb6
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