Instructions to use WindyTranslate/translate-sv-ln with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyTranslate/translate-sv-ln 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-ln")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("WindyTranslate/translate-sv-ln") model = AutoModelForSeq2SeqLM.from_pretrained("WindyTranslate/translate-sv-ln", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Promote lora build from WindstormLabs/translate-sv-ln, with attribution and change statement
4e928d0 verified - Xet hash:
- abeec5ee71ffc57b10ad132d73c1b29aad78fc4778c6bccac2904e25a19ed644
- Size of remote file:
- 857 kB
- SHA256:
- b590d6190c40c547425fa5f96dc3e0f4b9a13abfc4a898bf17c23dc949c63d78
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