Instructions to use WindyWord/translate-es-eo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/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="WindyWord/translate-es-eo")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-es-eo", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f345dc43888a58807e7da9588dd91706cd891743e7fff89ba365a31429bdb46e
- Size of remote file:
- 76.1 MB
- SHA256:
- ebd279fdea639e58aad03ca88b90fc21f51f81f46d130b9163aadff53c3092f3
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