Instructions to use rdhinaz/nlp-disaster-tweet-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rdhinaz/nlp-disaster-tweet-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="rdhinaz/nlp-disaster-tweet-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("rdhinaz/nlp-disaster-tweet-classifier") model = AutoModelForSequenceClassification.from_pretrained("rdhinaz/nlp-disaster-tweet-classifier") - Notebooks
- Google Colab
- Kaggle
A newer version of this model is available: google-bert/bert-base-uncased
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Model tree for rdhinaz/nlp-disaster-tweet-classifier
Base model
google-bert/bert-base-uncased