Instructions to use Helsinki-NLP/opus-mt-es-id with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-es-id 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-id")# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-es-id") model = AutoModelForMultimodalLM.from_pretrained("Helsinki-NLP/opus-mt-es-id") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a2569c4b20cfbb364a85fc7f665d191865c9b918a9b726853c2090de9324c22f
- Size of remote file:
- 297 MB
- SHA256:
- 5a5c4e90df1384066a295d7d05c7cdd4cbbaf27946174824eccf80abae118a8a
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