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 special_tokens_map.json from callgg/fastvlm-caption: direct link, hf CLI and curl.
- Browser
- Download file 367 Bytes
-
https://huggingface.co/callgg/fastvlm-caption/resolve/main/special_tokens_map.json
- Command line
-
hf download hf://callgg/fastvlm-caption/special_tokens_map.json
-
curl -L -o special_tokens_map.json https://huggingface.co/callgg/fastvlm-caption/resolve/main/special_tokens_map.json
367 Bytes
| { | |
| "additional_special_tokens": [ | |
| "<|im_start|>", | |
| "<|im_end|>" | |
| ], | |
| "eos_token": { | |
| "content": "<|im_end|>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "pad_token": { | |
| "content": "<|endoftext|>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| } | |
| } | |