Instructions to use WindstormLabs/translate-ln-fr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-ln-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-ln-fr")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-ln-fr", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 429342aa875a8d489b0e4102c9f792e27118cfdf566d8c4199f18a1630ad98a4
- Size of remote file:
- 811 kB
- SHA256:
- c2301917323f485133c627f2efa20e996013013ac09fe18279a1c5f110df159b
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