Instructions to use WindstormLabs/translate-zh-ms with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-zh-ms 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-zh-ms")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-zh-ms", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b8aab45dfdb07efae4e130a86af25f1b8c05005d3a3f96bbcae9b25999e9349a
- Size of remote file:
- 811 kB
- SHA256:
- 8f26c62e1ea21c1b7183b4ceec3b9bc18bd8cc343f0fdb7467560caebeb7681b
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.