Instructions to use xkeyC/sctoolbox_models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use xkeyC/sctoolbox_models 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="xkeyC/sctoolbox_models")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("xkeyC/sctoolbox_models", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| license: mit | |
| language: | |
| - zh | |
| - en | |
| base_model: | |
| - Helsinki-NLP/opus-mt-zh-en | |
| library_name: transformers | |
| pipeline_tag: translation | |