Instructions to use Helsinki-NLP/opus-mt-wls-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-wls-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-wls-en")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-wls-en") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-wls-en") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 599f19a456f869571a9bd44bb73762d51db1e860933366863f8b9eeb1c0267af
- Size of remote file:
- 256 MB
- SHA256:
- e190c853c0895d8621ee3c4496c435c9888f92c77658c14bfae2b14309c35a73
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