Instructions to use WindyWord/translate-ss-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-ss-en 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-ss-en")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-ss-en", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a607d6db1730180d5d0a304e1d2c255070de9f3e51ff513943b47620d46da8d5
- Size of remote file:
- 74.4 MB
- SHA256:
- 386421b3f00572432216bac5bb87d17c0fc4d344d62742a506e5bda5dd1adcc8
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