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
Download vocab.json from callgg/fastvlm-caption: direct link, hf CLI and curl.
- Browser
- Download file 2.78 MB
-
https://huggingface.co/callgg/fastvlm-caption/resolve/main/vocab.json
- Command line
-
hf download hf://callgg/fastvlm-caption/vocab.json
-
curl -L -o vocab.json https://huggingface.co/callgg/fastvlm-caption/resolve/main/vocab.json
2.78 MB
File too large to display, you can check the raw version instead.