Text Classification
Transformers
PyTorch
roberta
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use henryscheible/roberta-base_stereoset_finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use henryscheible/roberta-base_stereoset_finetuned with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="henryscheible/roberta-base_stereoset_finetuned")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("henryscheible/roberta-base_stereoset_finetuned") model = AutoModelForSequenceClassification.from_pretrained("henryscheible/roberta-base_stereoset_finetuned") - Notebooks
- Google Colab
- Kaggle
Ctrl+K