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
metadata
license: mit
language:
- en
base_model:
- distilbert/distilbert-base-uncased
library_name: transformers
tags:
- intent
- classifier
- ticket
- task
- intents