Instructions to use WindyTranslate/translate-sv-nso with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyTranslate/translate-sv-nso 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-nso")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("WindyTranslate/translate-sv-nso") model = AutoModelForSeq2SeqLM.from_pretrained("WindyTranslate/translate-sv-nso", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Promote lora build from WindstormLabs/translate-sv-nso, with attribution and change statement
17675ae verified - Xet hash:
- d247bbbfc315abfe508a230e6c07d5bb49f502accc17e4b7cd426a846f8a3b76
- Size of remote file:
- 852 kB
- SHA256:
- 442d85e843d4174047457f22252feb78ff7559ec2d921456582c46a226c8371a
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