Instructions to use WindstormLabs/translate-lv-fr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-lv-fr 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-lv-fr")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-lv-fr", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f46c20848b803194e06c347d14ea2ff26f935bc821cd33db2bbf7e53845b52f5
- Size of remote file:
- 810 kB
- SHA256:
- accf26f3c7eb7b0616ba155c65db24d1c29a0fc1ef080a23ef0352065d50384a
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