Instructions to use WindstormLabs/translate-tn-es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-tn-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-tn-es")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-tn-es", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 421b8d766372b71862e9fc42fcf0ae5759afbfe66ed4f3f5ea94f3659a663c6a
- Size of remote file:
- 849 kB
- SHA256:
- d4235d99a6cefc7aa620850381e157d1c73a00ee18106bec8c767b7ef863c8a2
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