Instructions to use WindstormLabs/translate-tr-fr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-tr-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-tr-fr")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-tr-fr", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c979d8f536f6089e7605e7b95e176337ac0af16a0b98b7eb75dd71f5c6914510
- Size of remote file:
- 841 kB
- SHA256:
- 2e3f7df4ce4f52f19440e8c04522781b49cb1db18e6c391bfd6fb83e44ff5f4a
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