Instructions to use WindstormLabs/translate-lg-fr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-lg-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-lg-fr")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-lg-fr", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dc0db68aa5c19532b2795af360a8a4692813a7e367d6de7de819d8ccb5632d87
- Size of remote file:
- 825 kB
- SHA256:
- 04947e0ff907121003812be22205cf9d189ee59859b837d66af6a95899f4b01e
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