Text Classification
Transformers
Safetensors
English
deberta-v2
sentiment-analysis
aspect-based-sentiment-analysis
education
student-feedback
teacher-evaluation
pedagogy
text-embeddings-inference
Instructions to use chiraghariprasad/pedagogy-analysis-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use chiraghariprasad/pedagogy-analysis-v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="chiraghariprasad/pedagogy-analysis-v2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("chiraghariprasad/pedagogy-analysis-v2") model = AutoModelForSequenceClassification.from_pretrained("chiraghariprasad/pedagogy-analysis-v2") - Notebooks
- Google Colab
- Kaggle
Welcome to the community
The community tab is the place to discuss and collaborate with the HF community!