Text Classification
Transformers
PyTorch
Safetensors
English
roberta
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use jantrienes/roberta-large-question-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jantrienes/roberta-large-question-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="jantrienes/roberta-large-question-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("jantrienes/roberta-large-question-classifier") model = AutoModelForSequenceClassification.from_pretrained("jantrienes/roberta-large-question-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a43399b563b3380159b3f4854a54bd63babdf515ff7a4700362c4e87affe736f
- Size of remote file:
- 1.42 GB
- SHA256:
- 670024acd1074dbf97ff0dbd8288e6cef834476602f7a29709e69da945460a95
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