Instructions to use WindstormLabs/translate-de-hil with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-de-hil 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-hil")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-de-hil", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 68c0795064fa713a9aab9e262164dca070c999aa4eabee0ff17f4fc1a08bf230
- Size of remote file:
- 77 MB
- SHA256:
- 510e48f1e94cf15faaa98fca2950d86d46c2c758a63c64762fc408a4cdb75a78
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