Instructions to use WindstormLabs/translate-en-ber with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-en-ber 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-en-ber")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-en-ber", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 686fce6b1c3639962b1e60c80784da804445a3ac4e7d3782fd712adacd5bcb0b
- Size of remote file:
- 64.5 MB
- SHA256:
- 73b300e488f011123ce20bf64c1a1a38e024fae2e5a17c15bb04b5c7992e13a2
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