Translation
Transformers
PyTorch
TensorFlow
Spanish
Peruvian Sign Language
marian
text2text-generation
Instructions to use Helsinki-NLP/opus-mt-es-prl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-es-prl 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-prl")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-es-prl") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-es-prl") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ab777ba794151af968cde8dae3277cc1c76c484e9b262f64a58f62a2006ed3b3
- Size of remote file:
- 201 MB
- SHA256:
- 703f12cca5348e67c6ed215c23ccbc29e578d57ab4aad07925cfdb8cf6d016bf
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