Instructions to use WindstormLabs/translate-wal-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-wal-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-wal-en")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-wal-en", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 618bc528476ec9ed54936e0d6ae19087f60e19930c64a29f3e52e93c47c542dd
- Size of remote file:
- 74.6 MB
- SHA256:
- db78f71ab5e8c694ea78681cc96d0214b401182cfaf01361eb822b2300f2af75
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