Text Classification
Transformers
Safetensors
Italian
deberta-v2
Generated from Trainer
subjectivity-detection
sentiment-analysis
Instructions to use AIWizards/mdeberta-v3-base-subjectivity-sentiment-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-sentiment-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-sentiment-italian")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("AIWizards/mdeberta-v3-base-subjectivity-sentiment-italian") model = AutoModel.from_pretrained("AIWizards/mdeberta-v3-base-subjectivity-sentiment-italian") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5f0fb30a482cc101da80b153d62a59c7782b1bed8b63d81a9f4756ddcdc561a5
- Size of remote file:
- 5.37 kB
- SHA256:
- 3c884a10cdf37fbd5649f460beae2225f932a2cd05c9a6a1c0591e7bce2bb056
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