Instructions to use BlackKakapo/opus-mt-fi-ro with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BlackKakapo/opus-mt-fi-ro 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="BlackKakapo/opus-mt-fi-ro")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("BlackKakapo/opus-mt-fi-ro") model = AutoModelForSeq2SeqLM.from_pretrained("BlackKakapo/opus-mt-fi-ro", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0101e10809bb1180d0fdcb0d49f3d28a52baed81a67ed0bfa80f56269210795a
- Size of remote file:
- 298 MB
- SHA256:
- bc22a26ab7f36e671d34a15f0e132415c836ef4b6328ff8181bf40d4fc7cb6fc
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