Instructions to use WindstormLabs/translate-es-eo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-es-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-es-eo")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-es-eo", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 83aebbfedcada626d1ac2049223306931a2f8fb9f9b167e12b65e3c89fdc2a55
- Size of remote file:
- 820 kB
- SHA256:
- 8180f8d47941a0a2e5df8452185b6c499e3424306044480b613aee8bf8a84b84
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