Instructions to use Helsinki-NLP/opus-mt-fi-srn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-fi-srn 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-fi-srn")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-fi-srn") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-fi-srn") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 006e91f183943b9beae510f10f6a1efb243390b71fdba4c0f859cbaf68299090
- Size of remote file:
- 305 MB
- SHA256:
- 67de87808f143df6bdb18914ef30aef061d4e0ab3d5abd1bc9f4269529cb3eee
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