Translation
Transformers
Safetensors
Chinese
Vietnamese
marian
text2text-generation
chinese-vietnamese
webnovel
xianxia
nmt
machine-translation
asymmetric-transformer
trained-from-scratch
Instructions to use ngocdang83/HachimiMT-60-zh-vi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ngocdang83/HachimiMT-60-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-60-zh-vi")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ngocdang83/HachimiMT-60-zh-vi") model = AutoModelForSeq2SeqLM.from_pretrained("ngocdang83/HachimiMT-60-zh-vi", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 50ed579f62dd6117b0558aa04f13b213a02f95636e672d859c069d7cfcd1d7a5
- Size of remote file:
- 58.1 MB
- SHA256:
- ed9e9ec52051916be15ebedd9aff71bcb7a30300ee8d2fc2ec818670d222a881
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