Instructions to use od2961/maxent-grpo-models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use od2961/maxent-grpo-models with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("od2961/maxent-grpo-models", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Index 706 verified experimental models
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Archive E98-R1/Qwen2.5-0.5B-Instruct/python_factors/rlep_dr_sparse/seed-46/step-03073
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Archive E98-R1/Qwen2.5-0.5B-Instruct/python_factors/rlep_dr_sparse/seed-47/step-03073
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Index 701 verified experimental models
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Archive E98-R1/Qwen2.5-0.5B-Instruct/python_factors/rlep_dr_sparse/seed-45/step-03073
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Archive E98-R1/Qwen2.5-0.5B-Instruct/python_factors/rlep_dr_sparse/seed-44/step-03073
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Archive E98-R1/Qwen2.5-0.5B-Instruct/python_factors/rlep_dr_sparse/seed-43/step-03073
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Archive E98-R1/Qwen2.5-0.5B-Instruct/pantry_plan/rlep_dr_sparse/seed-47/step-03073
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Archive E98-R1/Qwen2.5-0.5B-Instruct/pantry_plan/rlep_dr_sparse/seed-46/step-03073
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Archive E98-R1/Qwen2.5-0.5B-Instruct/pantry_plan/rlep_dr_sparse/seed-45/step-03073
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Archive E98-R1/Qwen2.5-0.5B-Instruct/pantry_plan/rlep_dr_sparse/seed-44/step-03073
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Index 694 verified experimental models
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Archive E98-R1/Qwen2.5-0.5B-Instruct/pantry_plan/rlep_dr_sparse/seed-43/step-03073
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Archive E98-R1/Qwen2.5-0.5B-Instruct/graph_coloring/rlep_dr_sparse/seed-47/step-03073
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Archive E98-R1/Qwen2.5-0.5B-Instruct/graph_coloring/rlep_dr_sparse/seed-46/step-03073
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Archive E98-R1/Qwen2.5-0.5B-Instruct/graph_coloring/rlep_dr_sparse/seed-45/step-03073
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Archive E98-R1/Qwen2.5-0.5B-Instruct/graph_coloring/rlep_dr_sparse/seed-44/step-03073
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Archive E98-R1/Qwen2.5-0.5B-Instruct/graph_coloring/rlep_dr_sparse/seed-43/step-03073
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Index 72 verified experimental models
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