Instructions to use Helsinki-NLP/opus-mt-fi-tn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-fi-tn 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-tn")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-fi-tn") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-fi-tn", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0cb8e460dd13428826073bb9b13417214e5ac7c49db8ccb5fab73e29174cf4bf
- Size of remote file:
- 305 MB
- SHA256:
- b18b883efdccf0afa8f4b3ed19db594d774b31f69f18d65dceefa81726816c21
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