Transformers
ONNX
Vietnamese
t5
text2text-generation
vietnamese
spell-correction
int8
quantization
edge
cpu
Instructions to use nrl-ai/vn-spell-correction-base-onnx-int8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nrl-ai/vn-spell-correction-base-onnx-int8 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("nrl-ai/vn-spell-correction-base-onnx-int8") model = AutoModelForSeq2SeqLM.from_pretrained("nrl-ai/vn-spell-correction-base-onnx-int8", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e5b173c5b3717473922bd05dfbc0814a8703f49f30c67d1d78c1b928416ba1b8
- Size of remote file:
- 155 MB
- SHA256:
- c4db04f5f1c596430334552caeae0e0f533469c22976652f2d4fe0e4d6619325
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