Instructions to use ppsingh/mpnet-multilabel-sector-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ppsingh/mpnet-multilabel-sector-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ppsingh/mpnet-multilabel-sector-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ppsingh/mpnet-multilabel-sector-classifier") model = AutoModelForSequenceClassification.from_pretrained("ppsingh/mpnet-multilabel-sector-classifier") - Notebooks
- Google Colab
- Kaggle
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## Environmental Impact
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*Carbon emissions were estimated using the [codecarbon](https://github.com/mlco2/codecarbon)*
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- **Hardware Type:** 16GB T4
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- **Hours used:** 3
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## Environmental Impact
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*Carbon emissions were estimated using the [codecarbon](https://github.com/mlco2/codecarbon). The carbon emission reported are incluidng the hyperparamter search performed on subset of training data*.
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- **Hardware Type:** 16GB T4
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- **Hours used:** 3
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