Instructions to use Recompense/Midas-pricer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Recompense/Midas-pricer with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Recompense/Midas-pricer", dtype="auto") - Notebooks
- Google Colab
- Kaggle
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README.md
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- **License:** [MIT]
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- **Finetuned from model:** meta-llama/Llama-3.1-8B-Instruct
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### Model Sources
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- **Repository:** [https://huggingface.co/Recompense/Midas-pricer/]
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- **License:** [MIT]
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- **Finetuned from model:** meta-llama/Llama-3.1-8B-Instruct
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### Model Sources
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- **Repository:** [https://huggingface.co/Recompense/Midas-pricer/]
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