# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("Taraassss/sentiment_analysis_IT")
model = AutoModelForSequenceClassification.from_pretrained("Taraassss/sentiment_analysis_IT")Quick Links
Trained Model on sentiment_analysis_IT_dataset
- Problem type: Multi-class Classification
- Model ID: 50174120292
- CO2 Emissions (in grams): 0.2491
Validation Metrics
- Loss: 0.816
- Accuracy: 0.647
- Macro F1: 0.637
- Micro F1: 0.647
- Weighted F1: 0.644
- Macro Precision: 0.643
- Micro Precision: 0.647
- Weighted Precision: 0.645
- Macro Recall: 0.635
- Micro Recall: 0.647
- Weighted Recall: 0.647
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Taraassss/sentiment_analysis_IT")