Text Classification
Transformers
PyTorch
TensorBoard
English
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use DunnBC22/roberta-base-Tweet_About_Disaster_Or_Not with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DunnBC22/roberta-base-Tweet_About_Disaster_Or_Not with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="DunnBC22/roberta-base-Tweet_About_Disaster_Or_Not")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("DunnBC22/roberta-base-Tweet_About_Disaster_Or_Not") model = AutoModelForSequenceClassification.from_pretrained("DunnBC22/roberta-base-Tweet_About_Disaster_Or_Not") - Notebooks
- Google Colab
- Kaggle
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README.md
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Dataset Source: https://www.kaggle.com/datasets/vstepanenko/disaster-tweets
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## Training procedure
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### Training hyperparameters
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Dataset Source: https://www.kaggle.com/datasets/vstepanenko/disaster-tweets
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_Input Word Length By Class:_
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## Training procedure
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### Training hyperparameters
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