Instructions to use WindstormLabs/translate-en-pt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-en-pt 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-en-pt")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-en-pt", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1c5f573b7508bce9b46ef8e915f5d999135b98ed2421414ce7e702fb8c8ffe17
- Size of remote file:
- 803 kB
- SHA256:
- 7a7fcf812cf03a5785daa35d4932bbbe69e7e605c0fe56fce5a3f731d6c355aa
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