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:
- 383dfade8a4a8ddb313e5acf0e692f1c67cea88d4ac1943bde95abc7e57750a0
- Size of remote file:
- 76.8 MB
- SHA256:
- 32866a916e896e9224b93fc1a6cc7bafa2f431b234bc2a4cd7c812958f8487b5
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