Instructions to use gbarone77/polibert_sa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gbarone77/polibert_sa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="gbarone77/polibert_sa")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("gbarone77/polibert_sa") model = AutoModelForSequenceClassification.from_pretrained("gbarone77/polibert_sa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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README.md
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tags:
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- sentiment
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# 🤗 + polibert_SA - POLItic BERT based Sentiment Analysis
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- sentiment
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- Italian
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license: mit
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- text: Giuseppe Rossi è un ottimo politico
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# 🤗 + polibert_SA - POLItic BERT based Sentiment Analysis
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