Transformers
Safetensors
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finance
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@@ -71,6 +71,7 @@ This model predicts prices of amazon aplliances data based on a product descript
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  - Regularly retrain or fine-tune on updated listing data to capture shifting market trends.
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  ## How to Get Started with the Model
 
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  ```python
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  from transformers import AutoModelForCausalLM, AutoTokenizer
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  import torch
@@ -168,13 +169,14 @@ This performance is competitive for rapid prototyping in price-sensitive applica
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  bitsandbytes (for 8-bit quantization optional inference)
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  ## Citation
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- @misc{Recompense2025MidasPricer,
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- title = {Midas-Pricer: Price Prediction for Amazon Appliances},
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- author = {Recompense},
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  year = {2025},
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  url = {https://huggingface.co/Recompense/Midas-pricer},
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- note = {Accessed: May 9, 2025}
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  }
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  - Regularly retrain or fine-tune on updated listing data to capture shifting market trends.
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  ## How to Get Started with the Model
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+
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  ```python
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  from transformers import AutoModelForCausalLM, AutoTokenizer
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  import torch
 
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  bitsandbytes (for 8-bit quantization optional inference)
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+
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  ## Citation
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+ @misc{Recompense2025MidasPric,
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+ {Midas-Pricer: Price Prediction for Amazon Appliances},
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+ author =Recompense},
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  year = {2025},
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  url = {https://huggingface.co/Recompense/Midas-pricer},
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+ note = {Accessed: May ,2025}
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  }
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