Instructions to use Helsinki-NLP/opus-mt-fi-ilo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-fi-ilo 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-ilo")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-fi-ilo") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-fi-ilo") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4dd9609df04249a33b5d5253aafcfdc7cf86449ab191dc1bbc010a494e545110
- Size of remote file:
- 304 MB
- SHA256:
- 79b0958ac7fd215e9e86f3df86ee585d14fc58b23a26eaf9ec8f2dacce5bc7bc
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