Instructions to use WindstormLabs/translate-en-cs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-en-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="WindstormLabs/translate-en-cs")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-en-cs", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fe5d55eca6a26f93e7b56707914ffe310e4ddfc9092105033f105c799922fb95
- Size of remote file:
- 789 kB
- SHA256:
- 8cb772d24cbd559a9e0c5dfd4726e1201b07497af59189f107dd812bff1909e7
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