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-199937.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-199937.pt
- Command line
-
hf download hf://avecoder/ppo-Doggy/Huggy/Huggy-199937.pt
-
curl -L -o Huggy-199937.pt https://huggingface.co/avecoder/ppo-Doggy/resolve/main/Huggy/Huggy-199937.pt
13.5 MB
- Xet hash:
- c6ee0e00f06342517ae4eefdc7a896edf11b57e4c054b0a83d20f534d849c811
- Size of remote file:
- 13.5 MB
- SHA256:
- 7374fd7ff1765c4e556fedc4c5f40ffdf2455a028d4b50a27a9e6240593f5bd7
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