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:
- 220f6cceeb7a9ecac5570cc0fbb9dbf07fea91026e392b7b6a9a6f7fc5d58296
- Size of remote file:
- 5.97 kB
- SHA256:
- de616a145e293b17664e4833886523731ef1b689f9603a17ed0034faaf74ba73
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