Instructions to use DarshanDeshpande/gemma_2b_oasst1_ppo_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DarshanDeshpande/gemma_2b_oasst1_ppo_model with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("DarshanDeshpande/gemma_2b_oasst1_ppo_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from DarshanDeshpande/gemma_2b_oasst1_ppo_model: direct link, hf CLI and curl.
- Browser
- Download file 9.72 kB
-
https://huggingface.co/DarshanDeshpande/gemma_2b_oasst1_ppo_model/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://DarshanDeshpande/gemma_2b_oasst1_ppo_model/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/DarshanDeshpande/gemma_2b_oasst1_ppo_model/resolve/main/pytorch_model.bin
9.72 kB
- Xet hash:
- 3a73af722f64aa15825c3fc4a004638d22df6b881c67ab4b839efdb037527c21
- Size of remote file:
- 9.72 kB
- SHA256:
- 4848be04eebc4fd14531016e726563a8291df25b605763e41bc037ec0b5e0ac9
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