Instructions to use Helsinki-NLP/opus-mt-kwy-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-kwy-en 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-kwy-en")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-kwy-en") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-kwy-en") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2131788be294233df937039059ec8cb4b001c58c240461a44d1ee93d715a7f71
- Size of remote file:
- 298 MB
- SHA256:
- 3a83adf62d7e864e64eb63a9367e2a9fe80b22a4c038d44324624bb5b5323626
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