Instructions to use Helsinki-NLP/opus-mt-fi-sg with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-fi-sg 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-sg")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-fi-sg") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-fi-sg") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7e0034be1f685c62bc03344c88b8f4a83a041d011c255ae1f4f6a4ba9d65182f
- Size of remote file:
- 276 MB
- SHA256:
- 932ac34ad3704f636bb8362412ce2947d4c0f37366db57745b7ab76ca15dd63d
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