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:
- 9f90a82adce866a9d4029dc61fd767b0233732797f3e0f01ea5ee041c271d433
- Size of remote file:
- 78.3 MB
- SHA256:
- 2d766127ffba7fddbf82d8586ff8ab3851c71374e6ddf5de8a2759bf17042ea8
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