Text Classification
Transformers
PyTorch
TensorBoard
mpnet
Generated from Trainer
text-embeddings-inference
Instructions to use mtyrrell/CPU_Conditional_Classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mtyrrell/CPU_Conditional_Classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mtyrrell/CPU_Conditional_Classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mtyrrell/CPU_Conditional_Classifier") model = AutoModelForSequenceClassification.from_pretrained("mtyrrell/CPU_Conditional_Classifier") - Notebooks
- Google Colab
- Kaggle
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- text: "Achieve 20% Energy efficiency in the Industry sub-sector through measures according to the Energy Efficiency and Conservation Master Plan (EECMP). Promote green Industry. Promote carbon financing. Agriculture. Enhanced use of solar energy in Agriculture. Agriculture. Implementation of 4102 Nos. solar irrigation pumps (generating 164 MW) for agriculture. Brick Kilns. Enforcement and Improved technology use. Brick Kilns. 47% emission reduction through Banning Fixed Chimney kiln (FCK), encourage advanced technology and non-fired brick use. Residential and Commercial."
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example_title: UNCONDITIONAL
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- text: "Achieve 20% Energy efficiency in the Industry sub-sector through measures according to the Energy Efficiency and Conservation Master Plan (EECMP). Promote green Industry. Promote carbon financing. Agriculture. Enhanced use of solar energy in Agriculture. Agriculture. Implementation of 4102 Nos. solar irrigation pumps (generating 164 MW) for agriculture. Brick Kilns. Enforcement and Improved technology use. Brick Kilns. 47% emission reduction through Banning Fixed Chimney kiln (FCK), encourage advanced technology and non-fired brick use. Residential and Commercial."
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- text: "The GHG emission reductions from Cairo metro network includes the rehabilitation of existing lines 1, 2, and 3. • The development of Alexandria Metro (Abu Qir – Alexandria railway line) and rehabilitation of the Raml tram line."
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