Any-to-Any
Transformers
Safetensors
English
gemma4
image-text-to-text
decisions
typed-decisions
audio
vision
calibration
on-device
smaug
abacusai
Instructions to use abacusai/Smaug-Decisions with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use abacusai/Smaug-Decisions with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("abacusai/Smaug-Decisions") model = AutoModelForMultimodalLM.from_pretrained("abacusai/Smaug-Decisions", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download readout.json from abacusai/Smaug-Decisions: direct link, hf CLI and curl.
- Browser
- Download file 135 Bytes
-
https://huggingface.co/abacusai/Smaug-Decisions/resolve/main/readout.json
- Command line
-
hf download hf://abacusai/Smaug-Decisions/readout.json
-
curl -L -o readout.json https://huggingface.co/abacusai/Smaug-Decisions/resolve/main/readout.json
135 Bytes
| { | |
| "final_logit_softcapping": 30.0, | |
| "multi_bias_b": 8.010554313659668, | |
| "letters": "ABCDEFGHIJKLMNOPQRST", | |
| "image_soft_tokens": 560 | |
| } |