Instructions to use WindstormLabs/translate-en-hu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-en-hu 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-hu")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-en-hu", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fed108311b41987c6ed6bf46c359bce20bf700d9f9f3d8125a9cbf3f495b905c
- Size of remote file:
- 78.3 MB
- SHA256:
- ac12f1c8f0782285d3072b70c96919e9b52b16cb219f941485c2ef076ba8ce02
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