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:
- 825e806c23659fa0a7891513ede6e59f98af1808ba12c6c80cdb41be281b5e93
- Size of remote file:
- 278 MB
- SHA256:
- 756f7b68b9fad7c0b0f04a48b2ad9076d5ead4c0905cc8b13fdde225f79d7838
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