Instructions to use WindstormLabs/translate-sv-hu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-sv-hu 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-sv-hu")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-sv-hu", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5d3379b9b1efa0c04edfaf5baba761bf656fe8f4722827c28b82bf52fff1a620
- Size of remote file:
- 76.2 MB
- SHA256:
- cf8ae23ea04c15713012d9c76adfd009c320ccc8375223432b9c3f2451088b3f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.