Instructions to use WindstormLabs/translate-fr-sl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-fr-sl 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-fr-sl")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-fr-sl", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 582d635a0a39f417263b55207f566f1d37097fa8b1272d8690b924d4378d598d
- Size of remote file:
- 809 kB
- SHA256:
- 644c84793ea7064c2e0d6c8087767ebb25722f2ffb58dade8cd0eed84ae5933e
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.