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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- aa3b1e5dbef381568225228f04d5b11f17cc7091a23f00d1ff85838b01d8b63e
- Size of remote file:
- 33 MB
- SHA256:
- 978e306ddc1b16de6a072a172328a5577eb60601f473083a7e26a677d6ecb10a
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