Instructions to use WindyTranslate/translate-vi-ru with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyTranslate/translate-vi-ru 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="WindyTranslate/translate-vi-ru")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("WindyTranslate/translate-vi-ru") model = AutoModelForSeq2SeqLM.from_pretrained("WindyTranslate/translate-vi-ru", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Promote herm0 build from WindstormLabs/translate-vi-ru, with attribution and change statement
c3e8bc2 verified - Xet hash:
- fb01b06a4b65c303952f3b71c344a53a5cb9e7973fdf2208f9d11d1efb96492c
- Size of remote file:
- 760 kB
- SHA256:
- 5cb285abe28b4a7ec04e5d82a66fa3ebe61be5c4b8c193bc291607581d68e345
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