Instructions to use WindstormLabs/translate-tl-es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-tl-es 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-es")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-tl-es", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 83d8c692b773f8485a2f5418c0345d63791c84a133ea9090f7e01ea9b7f05770
- Size of remote file:
- 833 kB
- SHA256:
- 36dbc1a4a733dc50c9b1f656ed344322c59fe416c885708bf8125c62bf1e62e0
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