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:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Maciel/T5Corrector-base-v2") model = AutoModelForSeq2SeqLM.from_pretrained("Maciel/T5Corrector-base-v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Maciel/T5Corrector-base-v2: direct link, hf CLI and curl.
- Browser
- Download file 2.36 MB
-
https://huggingface.co/Maciel/T5Corrector-base-v2/resolve/refs%2Fpr%2F2/tokenizer.json
- Command line
-
hf download hf://Maciel/T5Corrector-base-v2@refs/pr/2/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Maciel/T5Corrector-base-v2/resolve/refs%2Fpr%2F2/tokenizer.json
2.36 MB
File too large to display, you can check the raw version instead.