Instructions to use WindstormLabs/translate-en-fi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-en-fi 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-fi")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-en-fi", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e06e35e8299729a5e8029b00a6c4b7e7000c24de05da9c37b9165b7dc6e810b4
- Size of remote file:
- 79.6 MB
- SHA256:
- b9b2e4d073393a93c3992cbdd0a6abeab8fe525a1d1be65c0dc0dac5bf053bce
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