Text Classification
Transformers
TensorFlow
distilbert
generated_from_keras_callback
text-embeddings-inference
Instructions to use hkayesh/twitter-disaster-nlp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hkayesh/twitter-disaster-nlp with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="hkayesh/twitter-disaster-nlp")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("hkayesh/twitter-disaster-nlp") model = AutoModelForSequenceClassification.from_pretrained("hkayesh/twitter-disaster-nlp") - Notebooks
- Google Colab
- Kaggle
Librarian Bot: Add base_model information to model
#1 opened over 2 years ago
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librarian-bot