Instructions to use WindstormLabs/translate-it-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-it-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="WindstormLabs/translate-it-en")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-it-en", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 21c03813ce1e6ffecd1b7775a5c3b8107c415fae0e6f2fe1f8c6aef19d1b17ca
- Size of remote file:
- 790 kB
- SHA256:
- 5d0ea845f1daa59c379e797de366607b75594935f7c6d476c933e527bf25e0a8
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