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 generation_config.json from abacusai/Smaug-Decisions: direct link, hf CLI and curl.
- Browser
- Download file 204 Bytes
-
https://huggingface.co/abacusai/Smaug-Decisions/resolve/main/generation_config.json
- Command line
-
hf download hf://abacusai/Smaug-Decisions/generation_config.json
-
curl -L -o generation_config.json https://huggingface.co/abacusai/Smaug-Decisions/resolve/main/generation_config.json
204 Bytes
| { | |
| "bos_token_id": 2, | |
| "do_sample": true, | |
| "eos_token_id": [ | |
| 1, | |
| 106, | |
| 50 | |
| ], | |
| "pad_token_id": 0, | |
| "temperature": 1.0, | |
| "top_k": 64, | |
| "top_p": 0.95, | |
| "transformers_version": "5.20.2" | |
| } | |