Instructions to use ZakaryaRouzki/t5-punctuation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ZakaryaRouzki/t5-punctuation with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ZakaryaRouzki/t5-punctuation") model = AutoModelForSeq2SeqLM.from_pretrained("ZakaryaRouzki/t5-punctuation") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 57da196ea105818619aec60ca1c83eb267e350d04b7b6532047e49aaf5e850f3
- Size of remote file:
- 892 MB
- SHA256:
- 62548efa7c5110942053b14eb6de7bca2629f12514f96a952bc584905f42b96e
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.