Image-to-Text
Transformers
PyTorch
English
llava
text-generation
visual-question-answering
image-captioning
Instructions to use kaist-ai/volcano-13b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kaist-ai/volcano-13b 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-13b")# Load model directly from transformers import AutoProcessor, AutoModelForCausalLM processor = AutoProcessor.from_pretrained("kaist-ai/volcano-13b") model = AutoModelForCausalLM.from_pretrained("kaist-ai/volcano-13b", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f5cb967d946aa9dc00508cc4496eb6c71ce1f3be659745ac6798d988879d5a13
- Size of remote file:
- 6.46 kB
- SHA256:
- bd1610e90ba682a16bdb00d30a5eefbc63cccc3a6c3f21543c49c1f4055dac0e
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