Text Classification
Transformers
PyTorch
roberta
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use GCopoulos/robertaboolq-finetuned-answer-polarity-2e6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GCopoulos/robertaboolq-finetuned-answer-polarity-2e6 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="GCopoulos/robertaboolq-finetuned-answer-polarity-2e6")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("GCopoulos/robertaboolq-finetuned-answer-polarity-2e6") model = AutoModelForSequenceClassification.from_pretrained("GCopoulos/robertaboolq-finetuned-answer-polarity-2e6", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1 opened over 1 year ago
by
SFconvertbot