Instructions to use WindyWord/translate-en-tdt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-en-tdt 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-en-tdt")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-en-tdt", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8f5aa0bda19c218afdacf73126ecaf8f7e7504adcb9e565280a444a8fb29821b
- Size of remote file:
- 435 kB
- SHA256:
- 252b64b464da0c74d8f3b17c026a53c0cbd64ff7f3f3adf9e732e9e53b7e9df4
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