Text Classification
Transformers
Safetensors
grt
reward-model
process-reward-model
prm
rlhf-verifier
rotational-transformer
givens-rotations
clifford-algebra
matterwave
Instructions to use MatterWaveAI/grt-30m-prm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MatterWaveAI/grt-30m-prm with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MatterWaveAI/grt-30m-prm")# pip install -U transformers accelerate # Load model directly from transformers import GRTForRewardModeling model = GRTForRewardModeling.from_pretrained("MatterWaveAI/grt-30m-prm", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
Yesterday
-
Release MatterWaveAI/grt-30m-prm (zero nn.Linear, 8-way classical geometric optimizer ablation)
Verified signature5efea56