Instructions to use WindstormLabs/translate-en-efi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-en-efi 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-efi")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-en-efi", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6a96d92d760f4683586ce8bb5f8f7d685364e66340789bc56fec9db98a009047
- Size of remote file:
- 817 kB
- SHA256:
- 21974a88d347114e8765fb58261be8c3e0a42a23dcb46f9e2d67f5679f3dfc60
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