Instructions to use WindstormLabs/translate-en-tvl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-en-tvl 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-tvl")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-en-tvl", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e139b6c4e7b8b36a9c69f66851dfe95417d1ff8a13d7344ec8943b6a9d976d81
- Size of remote file:
- 782 kB
- SHA256:
- 938b850659967f1db3a5bf768942b6d503be5762a4dcb1576003241c5e33cedf
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