Instructions to use WindstormLabs/translate-fi-lv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-fi-lv 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-lv")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-fi-lv", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c400027a1fe43b6779365ab87b1a5f06791d7d1e4fa7188a317e4b8053bf4a22
- Size of remote file:
- 838 kB
- SHA256:
- 0d28a8a7f2a6e5cdfdd2160f1e59258cfe43ccb58732ab5c369911e864a992a9
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