Instructions to use WindstormLabs/translate-en-eo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-en-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-en-eo")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-en-eo", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a2c918b1a51c729f6a835dda9f8624820e3e27a44c308546fa330776369c074b
- Size of remote file:
- 806 kB
- SHA256:
- afa209d3ec53b93d4631232237717d0238b6a4e121c5751385738650ab160778
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