Text Classification
Transformers
Safetensors
English
grt
text-generation
geometric-rotation-transformer
open-s1
system-1
agent-routing
calibrated-decision-making
Instructions to use MatterWaveAI/open-s1-grt-30m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MatterWaveAI/open-s1-grt-30m with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MatterWaveAI/open-s1-grt-30m")# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("MatterWaveAI/open-s1-grt-30m", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update Open-S1-GRT-30M weights-only release with 8-way classical geometric optimizer ablation
d7a07b4 verified Download tokenizer.json from MatterWaveAI/open-s1-grt-30m: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/MatterWaveAI/open-s1-grt-30m/resolve/main/tokenizer.json
- Command line
-
hf download hf://MatterWaveAI/open-s1-grt-30m/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/MatterWaveAI/open-s1-grt-30m/resolve/main/tokenizer.json
11.4 MB
- Xet hash:
- dde3c5a4d468da6fe61f11ffa8f04af2d101f8f4a0fe118c37bd31bb8c3017b6
- Size of remote file:
- 11.4 MB
- SHA256:
- be75606093db2094d7cd20f3c2f385c212750648bd6ea4fb2bf507a6a4c55506
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