Instructions to use WindstormLabs/translate-tiv-sv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-tiv-sv 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-tiv-sv")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-tiv-sv", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3bb4bead78da4583ff6e99ef321fcbbf9cf3a1d0cea795ca9a1068cd56bb81bf
- Size of remote file:
- 526 kB
- SHA256:
- 5242179fe1b015158e8e09ad28095f594dbcab1b49afca0ec50eb6046363a5fe
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.