Text Classification
Transformers
Safetensors
Italian
deberta-v2
Generated from Trainer
subjectivity-detection
deberta-v3
Instructions to use AIWizards/mdeberta-v3-base-subjectivity-italian with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AIWizards/mdeberta-v3-base-subjectivity-italian with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AIWizards/mdeberta-v3-base-subjectivity-italian")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AIWizards/mdeberta-v3-base-subjectivity-italian") model = AutoModelForSequenceClassification.from_pretrained("AIWizards/mdeberta-v3-base-subjectivity-italian") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5189f8d02923a2a2f260d0d77a83415de088285e015d665deedea6e0c5d3491e
- Size of remote file:
- 5.37 kB
- SHA256:
- 01c440d9660c2fd2a41a9d9fdd7cd2462d4267e6f72345994b21b304073bef6c
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