Instructions to use WindstormLabs/translate-de-eo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-de-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-de-eo")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-de-eo", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 45e6e8624a07b6b6dad063c4368b194627e5d70c132c65e202e5bb5e3890b29c
- Size of remote file:
- 299 MB
- SHA256:
- dba7435895f55c83ecf4a79de0c46eb3c13c7b29fd15b5134d97ca938dab2d11
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