Reinforcement Learning
Transformers
Safetensors
t5
text2text-generation
trl
text-generation-inference
Instructions to use davidgaofc/PPO_base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use davidgaofc/PPO_base with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("davidgaofc/PPO_base") model = AutoModelForSeq2SeqLM.from_pretrained("davidgaofc/PPO_base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ab3969064360a3b187be2fc6f9ea00a749f8582c7cb76ce37629f2b6389c0ef9
- Size of remote file:
- 242 MB
- SHA256:
- afab3e762bd48e9f249e338333bba5f4301de16743e7cd86c7a41a6c3d78bb05
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