Transformers
PyTorch
TensorBoard
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use summervent/speller-t5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use summervent/speller-t5 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("summervent/speller-t5") model = AutoModelForSeq2SeqLM.from_pretrained("summervent/speller-t5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from summervent/speller-t5: direct link, hf CLI and curl.
- Browser
- Download file 3.58 kB
-
https://huggingface.co/summervent/speller-t5/resolve/main/training_args.bin
- Command line
-
hf download hf://summervent/speller-t5/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/summervent/speller-t5/resolve/main/training_args.bin
3.58 kB
- Xet hash:
- c10fa455cd7672f3795c4f4a68a3094045e8fbc8dc7a1fccfc5abbfabb96f96e
- Size of remote file:
- 3.58 kB
- SHA256:
- 622406e1cd2cb283d7ebb655c8c7e12ae1dddd9bb030617c952f061b140b55f0
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.