Text Classification
Transformers
TensorBoard
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use maxschlake/roberta-base_disaster_tweets_explosion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use maxschlake/roberta-base_disaster_tweets_explosion with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="maxschlake/roberta-base_disaster_tweets_explosion")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("maxschlake/roberta-base_disaster_tweets_explosion") model = AutoModelForSequenceClassification.from_pretrained("maxschlake/roberta-base_disaster_tweets_explosion", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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End of training
ceb3014 -
Training in progress, epoch 4
3beb001 -
Training in progress, epoch 3
ce60ad6 -
Training in progress, epoch 2
ea77a96 -
Training in progress, epoch 1
889261b -
initial commit
Maximilian Schlake4a5ced7