Text Classification
Transformers
PyTorch
TensorBoard
English
distilbert
sms
spam
detection
text-embeddings-inference
Instructions to use akuysal/English-SMS-classification-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use akuysal/English-SMS-classification-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="akuysal/English-SMS-classification-model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("akuysal/English-SMS-classification-model") model = AutoModelForSequenceClassification.from_pretrained("akuysal/English-SMS-classification-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 2
Browse files
pytorch_model.bin
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runs/Mar20_10-25-04_ac8473cdde84/events.out.tfevents.1679307985.ac8473cdde84.313.0
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