Instructions to use WindstormLabs/translate-cs-eo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-cs-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-cs-eo")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-cs-eo", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 093b9e8fad6d3466d563b0e7a5370cdfb10c8641dfd3563583b1acaba4eeb094
- Size of remote file:
- 192 MB
- SHA256:
- f10fc3a4d5f062564dab9513dc17e2273cf47995e114cf7c215b988bff939aed
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