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:
- 7e0ec7189d5e721b96c4c219716aa91e6d0d6aac649b94d8458e2bfdac28bbe9
- Size of remote file:
- 846 kB
- SHA256:
- b73a1e82566a7560b48d48c4be2dd50950f9e180dc596f3fbf9ac0ee6e781928
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