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:
- bf68cb6eff990472ff7b7df010d5121d0095db7e8fe940a941a97a00b10c83f1
- Size of remote file:
- 825 kB
- SHA256:
- c3a83c0ba3a46f2766cb7f0a4fd935359201093a18b4f40085589a6310b40dc3
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