Text Classification
Transformers
TensorBoard
Safetensors
bert
Trained with AutoTrain
text-embeddings-inference
Instructions to use dilarayavuz/sst2-real-syn-data-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dilarayavuz/sst2-real-syn-data-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dilarayavuz/sst2-real-syn-data-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("dilarayavuz/sst2-real-syn-data-classifier") model = AutoModelForSequenceClassification.from_pretrained("dilarayavuz/sst2-real-syn-data-classifier") - Notebooks
- Google Colab
- Kaggle
- Downloads last month
- 3
Model tree for dilarayavuz/sst2-real-syn-data-classifier
Base model
google-bert/bert-base-uncased