Instructions to use WindstormLabs/translate-ms-fr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-ms-fr 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="WindstormLabs/translate-ms-fr")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-ms-fr", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 188c24deaffa59472aefe296cf87af4d5d686abb5d1742d7f79a7b6d1d4815f0
- Size of remote file:
- 823 kB
- SHA256:
- 16bee425dad05630b8bd85fbc222726362ca8bd0f12a3f155939f73bbf59f2a5
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