Instructions to use WindstormLabs/translate-en-hil with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-en-hil 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-hil")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-en-hil", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3c4f6063b1d5674b8203cb82ee2cd8aec926a1ea5363e0290961dc1525b71d28
- Size of remote file:
- 75 MB
- SHA256:
- 8c781ea46956846f5db36a6c8aeb6672ab8e9022fcc90c12c0a49ee552720577
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