Transformers
PyTorch
Safetensors
English
t5
text2text-generation
spellchecking
NLP
T5
natural language generation
text-generation-inference
Instructions to use ai-forever/T5-large-spell with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ai-forever/T5-large-spell with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ai-forever/T5-large-spell") model = AutoModelForSeq2SeqLM.from_pretrained("ai-forever/T5-large-spell") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- df677ca38f4333dab91c3a11d1e7c5cdef135846eca6747e499691cbd95ba859
- Size of remote file:
- 2.95 GB
- SHA256:
- 2af3564629eef79ab27f66bed4a49a365c4606218b4ba0d7526dad0b8dc17125
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.