Instructions to use WindyTranslate/translate-ru-sv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyTranslate/translate-ru-sv 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-ru-sv")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("WindyTranslate/translate-ru-sv") model = AutoModelForSeq2SeqLM.from_pretrained("WindyTranslate/translate-ru-sv", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Promote herm0 build from WindstormLabs/translate-ru-sv, with attribution and change statement
c16d9da verified - Xet hash:
- 929bcb21a89f61c6af4f64576a520b49b5aa0eb2d08262ea2c52d8750488666c
- Size of remote file:
- 1.02 MB
- SHA256:
- f2399701ba7bdab5dc51e2c9deacb0f4d4b3c58631896de8f9b17608861a1603
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