Instructions to use WindstormLabs/translate-tl-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-tl-en 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-tl-en")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-tl-en", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9089bd3dc2ad8bd534bd780941527b63c20d5d8d784f0087f1a2e91ed8c73732
- Size of remote file:
- 75.5 MB
- SHA256:
- d8a13ae873a0052459738ffa058c29ad939c350a43b6bc051827835dd66c8178
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