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:
- bc7c22af80550ec191cd464cdfe0e9e496cad920112d39f430bf91d6c5c79489
- Size of remote file:
- 814 kB
- SHA256:
- 1bd307e2756991d470e4b40172147f7889b46a323b1a9a2150e66274825b1f21
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