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 head.pt from abacusai/Smaug-Decisions: direct link, hf CLI and curl.
- Browser
- Download file 1.56 kB
-
https://huggingface.co/abacusai/Smaug-Decisions/resolve/main/head.pt
- Command line
-
hf download hf://abacusai/Smaug-Decisions/head.pt
-
curl -L -o head.pt https://huggingface.co/abacusai/Smaug-Decisions/resolve/main/head.pt
1.56 kB
- Xet hash:
- 0dd28b47f62c32c2cd99087c422e6a5dd0fefedd6a8eb2f15f55285ccab5b031
- Size of remote file:
- 1.56 kB
- SHA256:
- a6f06a9992a8cf0a33726bcf23749ab52f7c832d05af2e1348eb53c45cb13ece
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