Text Classification
Transformers
Safetensors
Marathi
distilbert
movie-certification
content-rating
movie-script
nlp
multilingual
knowledge-distillation
long-document
explainable-ai
text-embeddings-inference
Instructions to use pratikkalamkar/moviecert-teacher-mr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pratikkalamkar/moviecert-teacher-mr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="pratikkalamkar/moviecert-teacher-mr")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("pratikkalamkar/moviecert-teacher-mr") model = AutoModelForSequenceClassification.from_pretrained("pratikkalamkar/moviecert-teacher-mr", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K