Instructions to use Ashwini1412/grievance_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ashwini1412/grievance_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Ashwini1412/grievance_classification")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Ashwini1412/grievance_classification") model = AutoModelForSequenceClassification.from_pretrained("Ashwini1412/grievance_classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
nadika/grievance_classification1
Verified signaturead45b76 -
nadika/grievance_classification1
Verified signature9980a49 -
End of training
Verified signature0a0d2cc -
Training in progress, step 6500
Verified signature4f0cde0 -
Training in progress, step 6000
Verified signature1de1152 -
Training in progress, step 5500
Verified signature81cd2e6 -
Training in progress, step 5000
Verified signature7b2a001 -
Training in progress, step 4500
Verified signature93df1eb -
Training in progress, step 4000
Verified signature6efa9cb -
Training in progress, step 3500
Verified signaturec47c126 -
Training in progress, step 3000
Verified signaturea82bab1 -
Training in progress, step 2500
Verified signature1ed429c -
Training in progress, step 2000
Verified signature3f3712e -
Training in progress, step 1500
Verified signaturec452b5e -
Training in progress, step 1000
Verified signaturedc363bd -
Training in progress, step 500
Verified signatureba832a1 -
initial commit
Verified signature9674faa