Instructions to use WindstormLabs/translate-de-ha with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-de-ha 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-de-ha")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-de-ha", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b81357558863ff2ef466a165b503d8e4c9832b4cff3ecda66bdc94bcc95f3ea9
- Size of remote file:
- 76.8 MB
- SHA256:
- 719deb20ec0648e5716384b218a6813a4bf7b4716371281ee4bc1dcde14fdb9d
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