Translation
Transformers
Safetensors
Chinese
Vietnamese
marian
text2text-generation
zh-vi
chinese-vietnamese
marianmt
machine-translation
Instructions to use ngocdang83/HachimiMT-30-zh-vi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ngocdang83/HachimiMT-30-zh-vi 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="ngocdang83/HachimiMT-30-zh-vi")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ngocdang83/HachimiMT-30-zh-vi") model = AutoModelForSeq2SeqLM.from_pretrained("ngocdang83/HachimiMT-30-zh-vi") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a84835a266e3a8ce1a9d811b22e5db075d8c9ae78bde10ff309c1538420c45ae
- Size of remote file:
- 612 kB
- SHA256:
- 0c748c239774106a9b4dd521ae66ba1cf55fe9778d21ceea843ba0cbf7e59e9c
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