Instructions to use WindstormLabs/translate-ms-it with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-ms-it 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-ms-it")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-ms-it", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c150ae3fcc9585ea7e92a6c1e9958a8988c82231c285bfd10704796a61bd37f6
- Size of remote file:
- 827 kB
- SHA256:
- a85e029570a4bc5026db1f92280731d25cd5f68b12e6ca3a0a331d24121bcfff
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