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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Measures In order to achieve its objectives by 2030, the Principality of
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Monaco has already implemented important policies and measures
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example_title: Economy-wide
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library_name:
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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Measures In order to achieve its objectives by 2030, the Principality of
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Monaco has already implemented important policies and measures
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example_title: Economy-wide
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library_name: transformers
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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