Instructions to use callgg/fastvlm-caption with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use callgg/fastvlm-caption with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("callgg/fastvlm-caption", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
File size: 168 Bytes
60378fd | 1 2 3 4 5 6 7 8 | {
"image_token": "<image>",
"num_additional_image_tokens": 0,
"patch_size": 64,
"processor_class": "LlavaProcessor",
"vision_feature_select_strategy": null
}
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