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:
- 25100a921597d7a383614ee7055ad04166828412cee7329f7e0a1de08758c755
- Size of remote file:
- 3.58 kB
- SHA256:
- facdec3270d3add97f4e758404b01c4d43d416dd717a9e68d844306307ef97cb
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