Instructions to use WindstormLabs/translate-ber-es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-ber-es 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-es")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-ber-es", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4733f6170b6fc83ee9356b9fbfea8d1d2ba125a0a788e99591b0c5f255bcd9f8
- Size of remote file:
- 52.7 MB
- SHA256:
- 48e4f72a8e1b6fc61bbac41e983c803a6ada7a938206e8413967e3db038a4092
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