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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bf778e6290930687747be08c9b3ff2380b825f7c5d330dee4daac2be1c23f3c2
- Size of remote file:
- 305 MB
- SHA256:
- d11db6caf01905319f35e822a1985aa5cafd5f01470eb4bef860692ca133b617
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