Instructions to use WindstormLabs/translate-de-pis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-de-pis 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-pis")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-de-pis", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9310bb5160e38cc8040e5fc5d01b8d7f20504b89229547f2c79262861296fbf8
- Size of remote file:
- 863 kB
- SHA256:
- 6449f312b6a56a77f467cfc64b6752707af0cb3a0d46e82cd9c18c4fe2621dc9
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