Translation
Transformers
PyTorch
TensorFlow
Peruvian Sign Language
Spanish
marian
text2text-generation
Instructions to use Helsinki-NLP/opus-mt-prl-es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-prl-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-prl-es")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-prl-es") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-prl-es") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 792f718f5d9610e31eb727e271a19169ff0b7c6d055e4ae873b788c238f9ebff
- Size of remote file:
- 201 MB
- SHA256:
- d3f417afcea458f0f4677da8769143f2383001bc2a265c977c22e68bb0ea6e29
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