Instructions to use WindstormLabs/translate-es-sl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-es-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-es-sl")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-es-sl", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3b4ffab400af322fda0b3581d3369862ab83bab1ebb6a6de60814ee89cc25dcd
- Size of remote file:
- 815 kB
- SHA256:
- 8b20ce2d4556ff79b27b9602851b756adf01a8c17b5a9f90e860c006fe698199
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