Instructions to use Helsinki-NLP/opus-mt-ty-fi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-ty-fi 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-ty-fi")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-ty-fi") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-ty-fi") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4c3308d7adbccfa64f4cc2f965174a8d69be43d2f97bcc7bf82eb5094738bbbe
- Size of remote file:
- 302 MB
- SHA256:
- d70562b70f1c978cffc3f2c4c10c42052560259c88a1e4f4ad6d9cdc96cdbd08
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