Instructions to use WindstormLabs/translate-ka-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-ka-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-ka-en")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-ka-en", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 380b95b7f07cf14586390f538c335934e61be4eb8eb42e9c7d1e417a94ec8f21
- Size of remote file:
- 602 kB
- SHA256:
- 17e7facc88c856631af7e013811052168f2eec42f3c575c3db909971fc9a1c66
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