Instructions to use WindstormLabs/translate-es-es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-es-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-es-es")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-es-es", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dce0840dbfb94e8c2e6823182044ed8c5e07bdacdd984b7f3a0f7b74663a115a
- Size of remote file:
- 63.1 MB
- SHA256:
- eff95dac221d2c858e08f1012e534a67b77f9988dc41f3aca9caa403d55f344a
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