Instructions to use WindstormLabs/translate-fi-el with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-fi-el 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-fi-el")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-fi-el", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0b67fb023ff1c6b360595c0a6d9c80216316a937d811b712ccb73cbc6e9cb314
- Size of remote file:
- 76.8 MB
- SHA256:
- 2e8169c95e60cba2d23ac44adc84d08e9f20fcc7347627a74cfdd922cb3f2e87
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