Instructions to use WindstormLabs/translate-hu-eo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-hu-eo 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-hu-eo")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-hu-eo", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4e6289e046128ca337df5ea548c8455b5f7cd95d95c1379a0889c64e8258e207
- Size of remote file:
- 49.7 MB
- SHA256:
- 3bbf88d8c43f5010428602f778671ba468af3c3bd30b1db0adc2b357d766110c
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