Instructions to use WindyWord/translate-sv-iso with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-sv-iso 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="WindyWord/translate-sv-iso")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-sv-iso", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b825863f8a14067dfa180edc7860d6bca51250452431d5e47080726a194e429f
- Size of remote file:
- 70.1 MB
- SHA256:
- 5ac614c0587b486d83985570f4636ba30f8c654c9e8685cc1142a48b9e3a27a4
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.