Transformers
Safetensors
Russian
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use ZovutVanya/ruT5-EmotionNeutralization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ZovutVanya/ruT5-EmotionNeutralization with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ZovutVanya/ruT5-EmotionNeutralization") model = AutoModelForSeq2SeqLM.from_pretrained("ZovutVanya/ruT5-EmotionNeutralization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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# results
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This model is a
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It achieves the following results on the evaluation set:
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- Loss: 0.3848
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- ParaScore: 0.8265
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# results
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This model is a version of [ai-forever/ruT5-base](https://huggingface.co/ai-forever/ruT5-base) fine-tuned on an anonymized Emergency calls dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3848
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- ParaScore: 0.8265
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