Instructions to use WindyWord/translate-en-tll with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-en-tll 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="WindyWord/translate-en-tll")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-en-tll", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9a2fe411c12541e97e77e3a51b5128600255eb105a72087a8b2102a3c81a392a
- Size of remote file:
- 77.2 MB
- SHA256:
- 0a1668644065d14f745d0cdf78d878c1372ecf91b23565549ab1950bde6a527e
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