Instructions to use Helsinki-NLP/opus-mt-tn-es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-tn-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-tn-es")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-tn-es") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-tn-es") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ea350ec3152f674648ac249ad7acd2a685b2a74c97c81a08f6795c1d9f72d3c5
- Size of remote file:
- 302 MB
- SHA256:
- 087b0de4a8516e8f3e9e6f512fd607fe69775b5342655ffef477cc90874e0bf8
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