Instructions to use WindstormLabs/translate-it-is with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-it-is 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-it-is")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-it-is", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cdf7786b3e4e61c45bf363a59530acb3916432d2ed55e29e6d33667b8ad4362e
- Size of remote file:
- 77.2 MB
- SHA256:
- f3888edf91c02014e127d03229104b296781a9098dee09b78ed58d09e4eeb47b
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