Instructions to use WindstormLabs/translate-hu-fi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-hu-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-hu-fi")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-hu-fi", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a19937ac3769c7c0c2ede5b63a647d530ce2fc3a9c85e2d2ca984bd349b36759
- Size of remote file:
- 845 kB
- SHA256:
- e42c82c7d3f1474bd54bbbd33c63f220b6ef53feba3afdd481ef039b602be7fd
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.