Instructions to use WindyTranslate/translate-sv-ru with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyTranslate/translate-sv-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-sv-ru")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("WindyTranslate/translate-sv-ru") model = AutoModelForSeq2SeqLM.from_pretrained("WindyTranslate/translate-sv-ru", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Promote lora build from WindstormLabs/translate-sv-ru, with attribution and change statement
4ef9662 verified - Xet hash:
- 6830be04518a230b450ddde986daf3f0d08b330e7448eeab38d3f8835d1db6a8
- Size of remote file:
- 810 kB
- SHA256:
- bfaea76be8ef1827412431a9d63c1ee67293590886dc80f332d4f9f5d5573dba
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