Instructions to use WindstormLabs/translate-th-fr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-th-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-th-fr")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-th-fr", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 480ec10741a8a924f942ce833b53b37d6fe0f6b68f85c39faeafd8a498c66760
- Size of remote file:
- 821 kB
- SHA256:
- 720abe95b2af540354a9e07a26472e5b3ffe3b305fccdfc7efe87bc7348a6b00
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