Instructions to use Leonardolin/mt5-NTCIR17-3classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Leonardolin/mt5-NTCIR17-3classification with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Leonardolin/mt5-NTCIR17-3classification") model = AutoModelForSeq2SeqLM.from_pretrained("Leonardolin/mt5-NTCIR17-3classification") - Notebooks
- Google Colab
- Kaggle
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Parent(s): 46fd390
Update README.md
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README.md
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language:
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- zh
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tokenizer = AutoTokenizer.from_pretrained("google/mt5-small")<
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config = AutoConfig.from_pretrained("Leonardolin/mt5-NTCIR17-3classification") <
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model = MT5ForConditionalGeneration.from_pretrained("Leonardolin/mt5-NTCIR17-3classification", config = config,).to(device)
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language:
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- zh
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---
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tokenizer = AutoTokenizer.from_pretrained("google/mt5-small")</br>
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config = AutoConfig.from_pretrained("Leonardolin/mt5-NTCIR17-3classification") </br>
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model = MT5ForConditionalGeneration.from_pretrained("Leonardolin/mt5-NTCIR17-3classification", config = config,).to(device)
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