Instructions to use Helsinki-NLP/opus-mt-cy-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-cy-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-cy-en")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-cy-en") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-cy-en", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 17b5ef17b997d821333b18916fe018069a12b1a7572fa06f8a7e97af8328ceb8
- Size of remote file:
- 290 MB
- SHA256:
- 2df7c209b4e2e137f99a4ac84c2e1db08a574b28e5c2c4ff4475bc24dcc94eda
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