Instructions to use WindstormLabs/translate-es-tpi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-es-tpi 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-tpi")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-es-tpi", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2deb100addff64a8924eb50c041e21a2d6e11b82d300442a919546060c6c6ba5
- Size of remote file:
- 656 kB
- SHA256:
- 768813e6f7260f18b5c1ff7fe7ff502a3e59f70df3ac1e194561b233f64d8ffb
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