Instructions to use Helsinki-NLP/opus-mt-fi-to with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-fi-to 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-to")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-fi-to") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-fi-to", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Helsinki-NLP/opus-mt-fi-to: direct link, hf CLI and curl.
- Browser
- Download file 302 MB
-
https://huggingface.co/Helsinki-NLP/opus-mt-fi-to/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Helsinki-NLP/opus-mt-fi-to/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Helsinki-NLP/opus-mt-fi-to/resolve/main/pytorch_model.bin
302 MB
- Xet hash:
- 3c5746ba24a5c123fabc5307397d46d610825a0e5358230ecc674ff57d9b635d
- Size of remote file:
- 302 MB
- SHA256:
- c93279ab7c4e2ef363131c0c9d60c3343916987d3d6df2fcb60affd36d82c0ff
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