Text Classification
Transformers
Safetensors
English
deberta-v2
sentiment-analysis
imdb
deberta-v3
binary-classification
Eval Results (legacy)
text-embeddings-inference
Instructions to use retaj249/imdb-deberta-v3-sentiment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use retaj249/imdb-deberta-v3-sentiment with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="retaj249/imdb-deberta-v3-sentiment")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("retaj249/imdb-deberta-v3-sentiment") model = AutoModelForSequenceClassification.from_pretrained("retaj249/imdb-deberta-v3-sentiment", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Welcome to the community
The community tab is the place to discuss and collaborate with the HF community!