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
Add link to training script
Browse files
README.md
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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## Training procedure
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Script: https://gist.github.com/jantrienes/329479bdad6b2a239cfcea83b9159a8a
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### Training hyperparameters
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The following hyperparameters were used during training:
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