Translation
Transformers
Safetensors
Vietnamese
mbart
text2text-generation
dialect-normalization
vietnamese-dialect
social-media
low-resource
Instructions to use Biu3010/dialect-normalizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Biu3010/dialect-normalizer with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "translation" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("translation", model="Biu3010/dialect-normalizer")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Biu3010/dialect-normalizer") model = AutoModelForSeq2SeqLM.from_pretrained("Biu3010/dialect-normalizer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0878daedde17c282b4f9d25dde810dd4addc66e91182bdd64186a26586a8f740
- Size of remote file:
- 2.44 GB
- SHA256:
- 24a01f18944417851fba70d3454c6300dcacb2262acecf936c6beb4d4544f914
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