Instructions to use Andrilko/ruBert-base-reward with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Andrilko/ruBert-base-reward with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Andrilko/ruBert-base-reward", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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README.md
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- [Dahoas/synthetic-instruct-gptj-pairwise](https://huggingface.co/datasets/Dahoas/synthetic-instruct-gptj-pairwise)
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- [openai/webgpt_comparisons](https://huggingface.co/datasets/openai/webgpt_comparisons)
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OR:
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- git lfs install;
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- [Dahoas/synthetic-instruct-gptj-pairwise](https://huggingface.co/datasets/Dahoas/synthetic-instruct-gptj-pairwise)
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- [openai/webgpt_comparisons](https://huggingface.co/datasets/openai/webgpt_comparisons)
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Firstly download custom model localy. You can do it manualy.
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OR:
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- git lfs install;
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