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:
# 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
- Xet hash:
- 8cbce2889c2015ed74ceeeeebf583585e3289cdd380235532db2158c8835e3c4
- Size of remote file:
- 3.12 kB
- SHA256:
- de2583a086a33b36cc0256dbdefb776268ee93c5f175f978c5edb2093da1e7ad
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