Translation
Transformers
Safetensors
sem
English
marian
windyword
semitic
arabic
hebrew
maltese
amharic
english
Instructions to use WindstormLabs/translate-sem-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-sem-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-sem-en")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-sem-en", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c0bff27cd238d83adf022093627f48bd3f3d7c1424f5c54fd340e0484e7928d4
- Size of remote file:
- 861 kB
- SHA256:
- b6bf5eb9f940ab8ebf35d3882cae796b12ecbd83f2092193bad5a95d85d625fa
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