Text Classification
Transformers
PyTorch
TensorBoard
Safetensors
distilbert
text-embeddings-inference
Instructions to use akuysal/English-SMS-classification-model-With-Subset 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-Subset with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="akuysal/English-SMS-classification-model-With-Subset")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("akuysal/English-SMS-classification-model-With-Subset") model = AutoModelForSequenceClassification.from_pretrained("akuysal/English-SMS-classification-model-With-Subset", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Training in progress, epoch 1
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Adding `safetensors` variant of this model (#1)
- Adding `safetensors` variant of this model (883ce698f1d6b4a0c294c7916f19e20bf7862c36) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>13dc83e -
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initial commit
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