Instructions to use WindstormLabs/translate-no-pl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-no-pl 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-no-pl")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-no-pl", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- aaed5124b8ef8614def08c233ee497b9f43adcd2c95b19dd5370f7deb42f07d0
- Size of remote file:
- 306 kB
- SHA256:
- bb0db78a96a8f3be7afddab5e211a9f49909077c5e9667a654a3974cd524cb53
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.