Translation
Transformers
Safetensors
Vietnamese
marian
text2text-generation
vietnamese
text-rewriting
post-editing
web-novel
Instructions to use DanVP/vp2vi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DanVP/vp2vi 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="DanVP/vp2vi")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("DanVP/vp2vi") model = AutoModelForSeq2SeqLM.from_pretrained("DanVP/vp2vi", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e1466ef45f9a8cf1e13a567fb66b2d8863fc3333b4a6a579be48a51f3c65fecf
- Size of remote file:
- 606 kB
- SHA256:
- d1557335c5892d2f33c6a4864f3ae598b235f705a713e32ca020b9fadb99a99e
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