Instructions to use WindyWord/translate-tn-es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/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="WindyWord/translate-tn-es")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-tn-es", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 88e689d210ac2c4b4eed052edb4e280039532097d9bb7ecd93e4f8597f11672a
- Size of remote file:
- 77.1 MB
- SHA256:
- ca41213135f28b2ec8d72e11f20768aa112f9163ef313b9d9c457eb30ca804dc
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