Instructions to use mys/mt5-small-turkish-question-paraphrasing with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mys/mt5-small-turkish-question-paraphrasing with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("mys/mt5-small-turkish-question-paraphrasing") model = AutoModelForSeq2SeqLM.from_pretrained("mys/mt5-small-turkish-question-paraphrasing") - Notebooks
- Google Colab
- Kaggle
Link to GitHub repo
Browse files
README.md
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## Overview
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This model is a finetuned version of [mt5-small](https://huggingface.co/google/mt5-small) for question paraphrasing task in Turkish. As a generator model, its capabilities are currently investigated and there is an ongoing effort to further improve it.
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## Usage
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You can generate 5 paraphrases for the input question with The simple code below.
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## Overview
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This model is a finetuned version of [mt5-small](https://huggingface.co/google/mt5-small) for question paraphrasing task in Turkish. As a generator model, its capabilities are currently investigated and there is an ongoing effort to further improve it. You can raise an issue [in this GitHub repo](https://github.com/monatis/tqp) for any comments, suggestions or interesting findings when using this model.
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## Usage
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You can generate 5 paraphrases for the input question with The simple code below.
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