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")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Vivek-Sham/deberta-multitask-sentiment-analysis", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tf_model.h5 from Vivek-Sham/deberta-multitask-sentiment-analysis: direct link, hf CLI and curl.
- Browser
- Download file 751 MB
-
https://huggingface.co/Vivek-Sham/deberta-multitask-sentiment-analysis/resolve/main/tf_model.h5
- Command line
-
hf download hf://Vivek-Sham/deberta-multitask-sentiment-analysis/tf_model.h5
-
curl -L -o tf_model.h5 https://huggingface.co/Vivek-Sham/deberta-multitask-sentiment-analysis/resolve/main/tf_model.h5
751 MB
- Xet hash:
- b3ac448d1fa05eb94a8beadfa58b16f01726ad403faad79cd50261471295ecc3
- Size of remote file:
- 751 MB
- SHA256:
- 1e6eb24d3e4ea5f2554433de2e51eecaea65a5a591ae9bb656f4d19daddd2fbb
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