Transformers
PyTorch
Safetensors
English
t5
text2text-generation
context-correction
error-correction
text-generation-inference
Instructions to use DeathReaper0965/t5-context-corrector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DeathReaper0965/t5-context-corrector with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("DeathReaper0965/t5-context-corrector") model = AutoModelForSeq2SeqLM.from_pretrained("DeathReaper0965/t5-context-corrector", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Adding `safetensors` variant of this model (#3)
- Adding `safetensors` variant of this model (7b236d94fe04966a39554451f9f4e34466ef4e34) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>95f958d
-
edit examples
065a8fd -
Update README.md
f916b33 -
Update README.md
bce9ec5 -
Update README.md
f40169f -
Update README.md
a31d2d7
-
Update README.md
658c8cf -
add correct pipeline
c1d04e2 -
Update README.md
ef1d8ae -
update inference parameters
ec2da59 -
Update README.md
5c12781 -
Update README.md
7cb6b7a -
Update README.md
bf4651c -
Add Usage and datasets
15155c0 -
Update README.md
bdfd0e9 -
add widget examples
4a0687a
-
Add widget
8582e12 -
Update README.md
0d73fef -
Update README.md
98e06f4 -
Create README.md
e924eec -
Upload T5 based context correction model and its files
71e0fb0 -
initial commit
58e354e