Instructions to use WindyWord/translate-ms-ms with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-ms-ms 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="WindyWord/translate-ms-ms")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-ms-ms", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Refresh README with updated variant naming and language labels
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README.md
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- translation
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language:
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library_name: transformers
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# WindyWord.ai Translation — Malay → Malay
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**Quality Rating: ⭐⭐½ (2.5★ Basic)**
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Part of the [WindyWord.ai](https://windyword.ai) translation fleet — 1,800+ proprietary language pairs.
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- translation
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- marian
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- windyword
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- malay
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language:
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- ms
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library_name: transformers
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# WindyWord.ai Translation — Malay → Malay
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**Translates Malay → Malay.**
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**Quality Rating: ⭐⭐½ (2.5★ Basic)**
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Part of the [WindyWord.ai](https://windyword.ai) translation fleet — 1,800+ proprietary language pairs.
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