Transformers
PyTorch
TensorBoard
Safetensors
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use UrukHan/t5-russian-spell with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use UrukHan/t5-russian-spell with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("UrukHan/t5-russian-spell") model = AutoModelForSeq2SeqLM.from_pretrained("UrukHan/t5-russian-spell") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 061661cf4a93c4e838ed62981a274fe33650ee1568741bd57e565657d585af12
- Size of remote file:
- 892 MB
- SHA256:
- 3e22ad8ff5909c77676d11ff6f583f02c4932ba5d6fd6145cee048f93cbd3b7b
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.