Instructions to use WindyWord/translate-eo-cs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-eo-cs 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-eo-cs")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-eo-cs", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b42b3ed4b348855d59b5d8eed4a5d8bdac163152cdb161eb037f78622dbcb677
- Size of remote file:
- 303 kB
- SHA256:
- 684b51586a682af089d7cd54d315571d885f969753763a7fc652b093d22449ff
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