Instructions to use WindyTranslate/translate-sv-sn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyTranslate/translate-sv-sn 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-sn")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("WindyTranslate/translate-sv-sn") model = AutoModelForSeq2SeqLM.from_pretrained("WindyTranslate/translate-sv-sn", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Promote lora build from WindstormLabs/translate-sv-sn, with attribution and change statement
813ae1e verified - Xet hash:
- 1950f3b9e7e65a20a9151560642bb039bbab726f1bd94646dccf3cc03d7747e7
- Size of remote file:
- 854 kB
- SHA256:
- fac4229fcb6b9861580b64b177ef667ea71adf2896be2610800e0c77a98220e1
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