Instructions to use Light1Smile/test2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Light1Smile/test2 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="Light1Smile/test2")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Light1Smile/test2", dtype="auto") - Notebooks
- Google Colab
- Kaggle
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license: apache-2.0
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# Model Card for Model ID
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license: apache-2.0
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datasets:
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- HuggingFaceM4/Docmatix
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language:
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- zh
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metrics:
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- accuracy
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library_name: adapter-transformers
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pipeline_tag: translation
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tags:
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- code
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# Model Card for Model ID
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