Instructions to use bmd1905/vietnamese-correction-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bmd1905/vietnamese-correction-v2 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("bmd1905/vietnamese-correction-v2") model = AutoModelForSeq2SeqLM.from_pretrained("bmd1905/vietnamese-correction-v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b430c546942e8c3793047857f5ff8fd12584f4895c1dcab1430fdd927720b186
- Size of remote file:
- 5.05 kB
- SHA256:
- 9d185703bf08499ca9c2f9c3612d9f7ec11b7666a7cdb13773aac6c1b1e3d400
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