Instructions to use Helsinki-NLP/opus-mt-fr-yo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-fr-yo 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-fr-yo")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-fr-yo") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-fr-yo", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ae42d888d9c5bba363af036f030f90d563385d1cfc8107592ce879834a100bb5
- Size of remote file:
- 301 MB
- SHA256:
- cf866c8783c5c6fa9f07ff2b6800c5e65aba0361d993fceb1c08981d640e9b94
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