Text Classification
Transformers
PyTorch
TensorBoard
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use satish860/sms_spam_detection-manning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use satish860/sms_spam_detection-manning with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="satish860/sms_spam_detection-manning")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("satish860/sms_spam_detection-manning") model = AutoModelForSequenceClassification.from_pretrained("satish860/sms_spam_detection-manning") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e511f2959b447237e89f7061c479bfde8820a7792889692841c42ed2a42573be
- Size of remote file:
- 268 MB
- SHA256:
- b449b88230ad7cde067964dcfc18f8976dea1c086d8624c10f6616849872a6f1
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