Instructions to use Helsinki-NLP/opus-mt-srn-sv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-srn-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="Helsinki-NLP/opus-mt-srn-sv")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-srn-sv") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-srn-sv", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 19ab0f8ab14e6947f92109ee831f7f50e5c7894527e43cd96aa24a1b11feea10
- Size of remote file:
- 299 MB
- SHA256:
- 78da2029cdd3781ecec57a029697de9e7e294e10b3db1e696117cc0f0520ba61
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