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/Huggy-999963.pt from avecoder/ppo-Doggy: direct link, hf CLI and curl.
- Browser
- Download file 13.5 MB
-
https://huggingface.co/avecoder/ppo-Doggy/resolve/main/Huggy/Huggy-999963.pt
- Command line
-
hf download hf://avecoder/ppo-Doggy/Huggy/Huggy-999963.pt
-
curl -L -o Huggy-999963.pt https://huggingface.co/avecoder/ppo-Doggy/resolve/main/Huggy/Huggy-999963.pt
13.5 MB
- Xet hash:
- f5dc080d3fbb0b09d667947fadced405f7c7c9bb8d44ce6d019505487d68b5a9
- Size of remote file:
- 13.5 MB
- SHA256:
- ceeaef0f8d32ed6384bc4e4b0a3805ac6f3fbb119ec3282c57c5d643638a7417
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.