Instructions to use WindstormLabs/translate-es-tl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-es-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-es-tl")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-es-tl", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7e1dac3a726b5ac95026adcae19a22b553ccac3880404892c375ace2c9c2fa16
- Size of remote file:
- 76.8 MB
- SHA256:
- 4bd5dbdf242ef543a596e15e31e480b84a4ab502374cf8576738b7f2dee17dc1
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