Text Classification
Transformers
Safetensors
PyTorch
English
distilbert
spam-detection
sms
text-embeddings-inference
Instructions to use nagaananth/MLOPS_group-v4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nagaananth/MLOPS_group-v4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="nagaananth/MLOPS_group-v4")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("nagaananth/MLOPS_group-v4") model = AutoModelForSequenceClassification.from_pretrained("nagaananth/MLOPS_group-v4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Update README.md
Verified signature6f7c338 -
Update README.md
Verified signature3641d04
-
Group36 v4: trained DistilBERT SMS spam classifier
Verified signaturead210c2
-
Upload tokenizer
Verified signature48cb142 -
Upload DistilBertForSequenceClassification
Verified signature0e62f60 -
initial commit
Verified signature3384915