Text Classification
Transformers
PyTorch
TensorFlow
English
deberta-v2
Sentiment-Analysis
Hate-Speech_Detection
NLP
Multi-task
Instructions to use Vivek-Sham/deberta-multitask-sentiment-analysis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Vivek-Sham/deberta-multitask-sentiment-analysis with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Vivek-Sham/deberta-multitask-sentiment-analysis")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Vivek-Sham/deberta-multitask-sentiment-analysis", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 76545ffbe095a0f2e2dbd4426e8e27e20b39ddcfabec1520feac4dac3d8794f0
- Size of remote file:
- 751 MB
- SHA256:
- ed6dc665dba0f1fec60130164bd2e2773e55827be297972cbdeafe4cc70b462b
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