Instructions to use WindstormLabs/translate-ber-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-ber-en 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-ber-en")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-ber-en", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bffc3183868899f318b867b14d1d0098cb3f53c02a25b22ef1770500fcb674d1
- Size of remote file:
- 740 kB
- SHA256:
- 610d733736b24464a44fab0409c7d05335941b5bd2bc5add4aced55700d61a92
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