Transformers
TensorBoard
Safetensors
Vietnamese
mbart
text2text-generation
code
Eval Results (legacy)
Instructions to use minhbui/spell_correction with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use minhbui/spell_correction with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("minhbui/spell_correction") model = AutoModelForSeq2SeqLM.from_pretrained("minhbui/spell_correction", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 676c2165006aad1bac5c59022b3372d72897ea2ab548bd87f857daf85d605286
- Size of remote file:
- 5.05 kB
- SHA256:
- 6611d8d716ad6be3cdafd695f5fbb568dc3dc8585a994bbb1f6bd91884831022
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