Instructions to use WindstormLabs/translate-fr-ms with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-fr-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="WindstormLabs/translate-fr-ms")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-fr-ms", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1738c60935ff87186eb187e70d2668429a8d4b6e3b870a5a2e3f67a95943f34e
- Size of remote file:
- 823 kB
- SHA256:
- 7470ad11bf8855b132e56b9bf1e8a84e2b2b617b352920a189f5fd24c16c2672
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