Translation
Transformers
Safetensors
Vietnamese
mbart
text2text-generation
vietnamese
dialect-normalization
seq2seq
Instructions to use coutMinh/mbart-large-50 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use coutMinh/mbart-large-50 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="coutMinh/mbart-large-50")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("coutMinh/mbart-large-50") model = AutoModelForSeq2SeqLM.from_pretrained("coutMinh/mbart-large-50", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 76de8e3c7aa8dd7115e84326be1ffd8862746862ff1df0da89b2d48ee648fd2f
- Size of remote file:
- 17.1 MB
- SHA256:
- 376be5cd93c037106e07e638cdf4ddfaa049da9be90c9cd15cf1b3eea18254ef
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