Instructions to use Helsinki-NLP/opus-mt-ilo-es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-ilo-es 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-ilo-es")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-ilo-es") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-ilo-es", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bde61b7f156438560bea633520bd127e7aaf1c97aae8ded2219df01da8bf0aef
- Size of remote file:
- 301 MB
- SHA256:
- b3eab318da66bc127efb08189b9208d506b004789226be8e3e848088d788a6b4
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