Transformers
PyTorch
Chinese
t5
text2text-generation
text error correction
text-generation-inference
Instructions to use Maciel/T5Corrector-base-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Maciel/T5Corrector-base-v1 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Maciel/T5Corrector-base-v1") model = AutoModelForSeq2SeqLM.from_pretrained("Maciel/T5Corrector-base-v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 85a6314cf6856094094cabf8bce3d3be3f19204b86ef39fd7f0dec8431b20ad1
- Size of remote file:
- 990 MB
- SHA256:
- eb5d6b1fe191f2a97c03c778aabf0da40fda180f27c28e04167c543005b71d96
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