Instructions to use Taraassss/sentiment_analysis_IT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Taraassss/sentiment_analysis_IT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Taraassss/sentiment_analysis_IT")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Taraassss/sentiment_analysis_IT") model = AutoModelForSequenceClassification.from_pretrained("Taraassss/sentiment_analysis_IT") - Notebooks
- Google Colab
- Kaggle
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- Problem type: Multi-class Classification
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- Model ID: 50174120292
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# Trained Model on sentiment_analysis_IT_dataset
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- Problem type: Multi-class Classification
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- Model ID: 50174120292
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