Instructions to use WindstormLabs/translate-hi-ur with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-hi-ur 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-hi-ur")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-hi-ur", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 912c002c26db0b03212b78fe8a8093081fdb8cc7e77d502a13e834502f7df3f5
- Size of remote file:
- 332 kB
- SHA256:
- 09ba67234236ecef913305485f806db44dfd1a939a38b55b0c3e9e58d5712421
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.