Instructions to use WindstormLabs/translate-en-tl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-en-tl 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-en-tl")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-en-tl", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c995ba1956f660c1519f9bebebbc8bb3a7547948d8a1fd9176b0f52f36254581
- Size of remote file:
- 835 kB
- SHA256:
- e26d20a4aae1e82aaab382ff47ad8b587d03d1087e295d4c51ff71d63427e059
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