Instructions to use bmd1905/vietnamese-correction with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bmd1905/vietnamese-correction with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("bmd1905/vietnamese-correction") model = AutoModelForSeq2SeqLM.from_pretrained("bmd1905/vietnamese-correction", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- edfcf114029ac1f1941e9323199cd5573277a550bf7e657a820bf63c876e6a81
- Size of remote file:
- 1.68 GB
- SHA256:
- 4ab06d90235e41cf323485006a0550cf7b75e246711da2e3d804ad4e32289ea1
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