Instructions to use Helsinki-NLP/opus-mt-fi-wls with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-fi-wls 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-wls")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-fi-wls") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-fi-wls") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4512368e132a0a27d183610797a63981a398af3021b467271220b001fa5399ef
- Size of remote file:
- 266 MB
- SHA256:
- aea44f14f5163873278d377bd2652f2bdaa3e5ca45207561705785045a818f01
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