Instructions to use avecoder/ppo-Doggy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use avecoder/ppo-Doggy with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("avecoder/ppo-Doggy", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download Huggy.onnx from avecoder/ppo-Doggy: direct link, hf CLI and curl.
- Browser
- Download file 2.27 MB
-
https://huggingface.co/avecoder/ppo-Doggy/resolve/main/Huggy.onnx
- Command line
-
hf download hf://avecoder/ppo-Doggy/Huggy.onnx
-
curl -L -o Huggy.onnx https://huggingface.co/avecoder/ppo-Doggy/resolve/main/Huggy.onnx
2.27 MB
- Xet hash:
- bbfea811481366fae5634e9c3e6fab5a96ed2e277463da1afb3322a743878309
- Size of remote file:
- 2.27 MB
- SHA256:
- dcfccf368ea31e16307a017f0f36614a444520b5753cb87c52bf3ca17b9ea640
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.