Reinforcement Learning
Transformers
English
post-training
distillation
agentic-coding
composer-2.5
cursor
kimi-k2
grpo
dapo
diloco
openenv
trl
verl
research
methodology
Instructions to use Codeseys/composer-replication-framework with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Codeseys/composer-replication-framework with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Codeseys/composer-replication-framework", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download composer_replication/integrations/__init__.py from Codeseys/composer-replication-framework: direct link, hf CLI and curl.
- Browser
- Download file 0 Bytes
-
https://huggingface.co/Codeseys/composer-replication-framework/resolve/f00833de1cebf6a4e41fc7db1552ea839eb201ae/composer_replication/integrations/__init__.py
- Command line
-
hf download hf://Codeseys/composer-replication-framework@f00833de1cebf6a4e41fc7db1552ea839eb201ae/composer_replication/integrations/__init__.py
-
curl -L -o __init__.py https://huggingface.co/Codeseys/composer-replication-framework/resolve/f00833de1cebf6a4e41fc7db1552ea839eb201ae/composer_replication/integrations/__init__.py
0 Bytes