Instructions to use WindstormLabs/translate-bg-es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-bg-es 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-bg-es")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-bg-es", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4cd043265e8384293732210cf05448b1a35e764bdadab0cfbb8559faee31842e
- Size of remote file:
- 1.01 MB
- SHA256:
- 56a91f2d64b117451873d537ef5e4bc7630b3de188af08e0bc0bdc940cb5ba62
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.