Text Classification
Transformers
Safetensors
English
deberta-v2
Generated from Trainer
subjectivity-detection
news
checkthat2025
mdeberta-v3
Instructions to use AIWizards/mdeberta-v3-base-subjectivity-sentiment-english 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-english 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-english")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("AIWizards/mdeberta-v3-base-subjectivity-sentiment-english") model = AutoModel.from_pretrained("AIWizards/mdeberta-v3-base-subjectivity-sentiment-english") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e9014ac24c1651150329234f75398d3d87d509c0d4e4978c32e6e975d5cf3d4c
- Size of remote file:
- 5.37 kB
- SHA256:
- c50869188a037911b5d9dc41c232a3a89e192afb014ff978c509a835924ad7e3
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