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
Document CTranslate2 runtime
Browse files
README.md
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# vé máy bay gần nhất từ thành phố Lâm Giang đến thành phố Tuyết Phi."
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```
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## Speed Benchmark
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Tested on RTX 5070 Ti Laptop, `num_beams=4`, mixed test set (20 short + 20 medium + 20 long rows).
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# vé máy bay gần nhất từ thành phố Lâm Giang đến thành phố Tuyết Phi."
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```
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## Fast CPU Runtime
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This repository also includes a CTranslate2 INT8 export under
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`ct2-int8_float32/`, used by the public demo Space for faster CPU inference.
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```python
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import ctranslate2
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from pathlib import Path
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from huggingface_hub import snapshot_download
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from transformers import AutoTokenizer
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model_id = "ngocdang83/HachimiMT-60-zh-vi"
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model_path = Path(snapshot_download(model_id, allow_patterns=[
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"config.json", "source.spm", "target.spm", "vocab.json", "tokenizer_config.json",
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"ct2-int8_float32/*",
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]))
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tokenizer = AutoTokenizer.from_pretrained(model_path)
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translator = ctranslate2.Translator(
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str(model_path / "ct2-int8_float32"),
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device="cpu",
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compute_type="int8_float32",
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)
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```
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## Speed Benchmark
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Tested on RTX 5070 Ti Laptop, `num_beams=4`, mixed test set (20 short + 20 medium + 20 long rows).
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