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
| { | |
| "image_token": "<image>", | |
| "num_additional_image_tokens": 0, | |
| "patch_size": 64, | |
| "processor_class": "LlavaProcessor", | |
| "vision_feature_select_strategy": null | |
| } | |