Instructions to use tbite991/Energy_Consumption with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tbite991/Energy_Consumption with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "summarization" 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("summarization", model="tbite991/Energy_Consumption")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("tbite991/Energy_Consumption", dtype="auto") - Notebooks
- Google Colab
- Kaggle
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README.md
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base_model:
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pipeline_tag:
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library_name: transformers
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tags:
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- energy
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base_model:
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pipeline_tag: summarization
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library_name: transformers
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tags:
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- energy
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