Text Classification
Transformers
Safetensors
deberta-v2
Generated from Trainer
deberta-v3
subjectivity-detection
multilingual
sentiment-analysis
Instructions to use AIWizards/mdeberta-v3-base-subjectivity-multilingual with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AIWizards/mdeberta-v3-base-subjectivity-multilingual with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AIWizards/mdeberta-v3-base-subjectivity-multilingual")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AIWizards/mdeberta-v3-base-subjectivity-multilingual") model = AutoModelForSequenceClassification.from_pretrained("AIWizards/mdeberta-v3-base-subjectivity-multilingual", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
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