Instructions to use WindyTranslate/translate-sv-uk with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyTranslate/translate-sv-uk 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-sv-uk")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("WindyTranslate/translate-sv-uk") model = AutoModelForSeq2SeqLM.from_pretrained("WindyTranslate/translate-sv-uk", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Promote herm0 build from WindstormLabs/translate-sv-uk, with attribution and change statement
c258018 verified - Xet hash:
- 540757f5e19cab498caae1c73a7e05aeeee87b7b0a31bd29c2a126f7ca309861
- Size of remote file:
- 834 kB
- SHA256:
- 67e8dec17f91b394d32a8220a1c9837fcf86c60a0cdb52827667ed7747ebc8bc
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