Instructions to use WindstormLabs/translate-tvl-es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-tvl-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-tvl-es")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-tvl-es", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9e3f843d52cad62845a68ea61af09abadc9ca179f63b4122acbc27eeb61c5950
- Size of remote file:
- 468 kB
- SHA256:
- 8ccee89b4af2f2811a9608c24af84319257bda2c02ffe38c742c9c3eda9b6643
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