This repository contains a LoRA adapter trained to classify marketplace customer reviews into product categories. The adapter was fine-tuned on a downstream sequence-classification task and is intended to be used with the Qwen/Qwen2.5-3B base model using the PEFT library.
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Adapter type: LoRA (PEFT)
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Base model: Qwen/Qwen2.5-3B
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Task: Multiclass text classification (product category of marketplace reviews)
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Labels (classes):
- бытовая техника (home appliances)
- обувь (shoes)
- одежда (clothing)
- посуда (tableware / kitchenware)
- текстиль (textiles)
- товары для детей (kids / baby products)
- украшения и аксессуары (jewelry & accessories)
- электроника (electronics)
- нет товара (NO_PRODUCT)
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Developed by: [More Information Needed]
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Funded by [optional]: [More Information Needed]
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Shared by [optional]: [More Information Needed]
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Model type: [More Information Needed]
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Language(s) (NLP): [More Information Needed]
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License: [More Information Needed]
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Finetuned from model [optional]: [More Information Needed]
1pip install transformers peft safetensors huggingface_hub
2# If you want 8-bit:
3pip install bitsandbytes
Carbon emissions can be estimated using the
Machine Learning Impact calculator presented in
Lacoste et al. (2019).
