Instructions to use WindstormLabs/translate-en-chk with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-en-chk 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-en-chk")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-en-chk", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1de37c4477d5ffba4d2a30d6f5e00d4a8fc33c1c91df0d021cdf8476c148fc90
- Size of remote file:
- 75.1 MB
- SHA256:
- ed635ea57e890b57f675d67447ef192d1d485ac69f1e155014adcbe3b3c7ebdf
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