Instructions to use OpenAssistant/oasst-rm-2.1-pythia-1.4b-epoch-2.5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OpenAssistant/oasst-rm-2.1-pythia-1.4b-epoch-2.5 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("OpenAssistant/oasst-rm-2.1-pythia-1.4b-epoch-2.5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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README.md
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# Pythia 1.4B Based Reward Model
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- base model: andreaskoepf/pythia-1.4b-gpt4all-pretrain
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- wandb: https://wandb.ai/open-assistant/reward-model/runs/kadgqj65
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- checkpoint: 10k steps
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# Pythia 1.4B Based Reward Model
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- base model: [andreaskoepf/pythia-1.4b-gpt4all-pretrain](https://huggingface.co/andreaskoepf/pythia-1.4b-gpt4all-pretrain)
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- wandb: https://wandb.ai/open-assistant/reward-model/runs/kadgqj65
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- checkpoint: 10k steps
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