Instructions to use Helsinki-NLP/opus-mt-es-wls with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-es-wls 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-es-wls")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-es-wls") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-es-wls") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b6dd9b85049878a6db3fefcc711657f3c27e9378ef47fb288801f80cb74bc321
- Size of remote file:
- 265 MB
- SHA256:
- f58b2cfda21d4df04e6f2040e374da0bfef9046a675d19dbde01f8f094b6b360
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