Text Classification
Transformers
Safetensors
English
distilbert
intent
classifier
ticket
task
intents
text-embeddings-inference
Instructions to use Mukesh001/ticket-intent-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mukesh001/ticket-intent-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Mukesh001/ticket-intent-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Mukesh001/ticket-intent-classifier") model = AutoModelForSequenceClassification.from_pretrained("Mukesh001/ticket-intent-classifier") - Notebooks
- Google Colab
- Kaggle
| license: mit | |
| language: | |
| - en | |
| base_model: | |
| - distilbert/distilbert-base-uncased | |
| library_name: transformers | |
| tags: | |
| - intent | |
| - classifier | |
| - ticket | |
| - task | |
| - intents | |