Transformers
PyTorch
Chinese
t5
text2text-generation
text error correction
text-generation-inference
Instructions to use Maciel/T5Corrector-base-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Maciel/T5Corrector-base-v2 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Maciel/T5Corrector-base-v2") model = AutoModelForSeq2SeqLM.from_pretrained("Maciel/T5Corrector-base-v2") - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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```python
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# 加载模型
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from transformers import
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pretrained = "Maciel/T5Corrector-base-v2"
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tokenizer =
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model = T5ForConditionalGeneration.from_pretrained(pretrained)
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```
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```python
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# 加载模型
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from transformers import AutoTokenizer, T5ForConditionalGeneration
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pretrained = "Maciel/T5Corrector-base-v2"
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tokenizer = AutoTokenizer.from_pretrained(pretrained)
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model = T5ForConditionalGeneration.from_pretrained(pretrained)
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```
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