Instructions to use WindstormLabs/translate-de-hr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-de-hr 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-de-hr")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-de-hr", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 23f5ad955ef912bf12ecadf649df6cf3a55e8ad99cf6a0a8c494d54524dd335c
- Size of remote file:
- 809 kB
- SHA256:
- 40570156ff45e15f0f55bd51e2da055128a38cdc3ee86fd8db20fe34102b41e7
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.