Instructions to use Helsinki-NLP/opus-mt-fi-run with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-fi-run 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-run")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-fi-run") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-fi-run", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a77cd57410cd7072a285e963e0442162578ec749ee21fa82b557a9d65a966984
- Size of remote file:
- 306 MB
- SHA256:
- aab3d3473a59ec802764fc60e9945cd716eae56567946120a5e3c0be793d0a8e
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