Instructions to use Helsinki-NLP/opus-mt-fi-ig with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-fi-ig 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-ig")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-fi-ig") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-fi-ig", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 750ebeefe9c02b8975ab32b59f43ab545ad971d7ad87ed14c714903553f2b73c
- Size of remote file:
- 304 MB
- SHA256:
- 1c98792f3d946bec4fa6edc3545f316943e642e3587dc2815f07deb1d6b26b0f
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