Instructions to use WindstormLabs/translate-pl-eo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-pl-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-pl-eo")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-pl-eo", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 10e326b0e50a60b8544b369699174049cf7bacf0df82b5cfd03a970c9765b023
- Size of remote file:
- 192 MB
- SHA256:
- b59e431ae5f5657364e107f9a7a9be8e84e2f5d3479daf275b3df338f0b1a973
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