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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 34f3df9360a87f3380dce5a14ea087d1dfcdd398f836d7eb32ea6b29d06e4368
- Size of remote file:
- 4.54 kB
- SHA256:
- 8f7d007681c7fac4efe338744ae0ead6b261215bad92b4852a05a8e9b609f753
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