Instructions to use Helsinki-NLP/opus-mt-es-zai with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-es-zai 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-zai")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-es-zai") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-es-zai") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bfec4a9931701abae3dcd4d8c0aed0495891b9f6aef95cce80b53f23f8d1b72e
- Size of remote file:
- 279 MB
- SHA256:
- a5167208ba820df8f7f0e411ea88c66cbe9c9dbb370e8f3e57ba5bf835fd7600
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