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:
- 02dd385f8af2c3b9771ff3c9b991dea2151c4f60ec6ceb217534783dc5906448
- Size of remote file:
- 423 kB
- SHA256:
- 5b8568fcdc1a6d711532ec89794f2df8b04f255a275653f51f8e9c80a7207676
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