Instructions to use Tesslate/Gradience-RL-Math-CustomReward-V6-BatchStreak-DBLog with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Tesslate/Gradience-RL-Math-CustomReward-V6-BatchStreak-DBLog with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Tesslate/Gradience-RL-Math-CustomReward-V6-BatchStreak-DBLog", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
- Xet hash:
- 572afc6424477997d45043651029ec64774921f791918d07191dfcc9cbc6c0f5
- Size of remote file:
- 6.01 kB
- SHA256:
- 31faf0d586e6d4bb14bb8dda5782f7b888ec1a5257f12fda827df8d6cbc69e3e
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