Instructions to use mrsinghania/asr-question-detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mrsinghania/asr-question-detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mrsinghania/asr-question-detection")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mrsinghania/asr-question-detection") model = AutoModelForSequenceClassification.from_pretrained("mrsinghania/asr-question-detection") - Notebooks
- Google Colab
- Kaggle
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
Question vs Statement classifier trained on more than 7k samples which were coming from spoken data in an interview setting
Code for using in Transformers:
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("mrsinghania/asr-question-detection")
model = AutoModelForSequenceClassification.from_pretrained("mrsinghania/asr-question-detection")
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