Instructions to use WindstormLabs/translate-fi-ts with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-fi-ts 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-ts")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-fi-ts", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e6c8444faf108f8339bc28ff2d4d2c9ecb93cab1340c5e8d6a0fa1dbe645500f
- Size of remote file:
- 874 kB
- SHA256:
- fbbaa730de40c9d265b61e22d44823a6e6f1c93dff52170208e56bec6c650a59
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