Text Classification
Transformers
Safetensors
Telugu
chandassu_poem_cnn
feature-extraction
telugu
poetry
poetic-meter
cnn
eight-class
custom_code
Instructions to use sprx7767/chandassu-recognition with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sprx7767/chandassu-recognition with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="sprx7767/chandassu-recognition", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("sprx7767/chandassu-recognition", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download CITATION.cff from sprx7767/chandassu-recognition: direct link, hf CLI and curl.
- Browser
- Download file 613 Bytes
-
https://huggingface.co/sprx7767/chandassu-recognition/resolve/main/CITATION.cff
- Command line
-
hf download hf://sprx7767/chandassu-recognition/CITATION.cff
-
curl -L -o CITATION.cff https://huggingface.co/sprx7767/chandassu-recognition/resolve/main/CITATION.cff
613 Bytes
| cff-version: 1.2.0 | |
| message: "Cite this project when you use its code or dataset. See LICENSE for the citation requirement." | |
| title: "Chandassu Recognition: Telugu Poetic Meter Classification" | |
| authors: | |
| - family-names: "Surampudi" | |
| given-names: "Pranav" | |
| type: software | |
| version: "1.0.0" | |
| date-released: "2026-10-11" | |
| url: "https://github.com/Pranav-20186017/chandassu_recognition" | |
| repository-code: "https://github.com/Pranav-20186017/chandassu_recognition" | |
| license-url: "https://github.com/Pranav-20186017/chandassu_recognition/blob/main/LICENSE" | |
| keywords: | |
| - Telugu | |
| - poetic meter | |
| - CNN | |
| - ByT5 | |
| - dataset | |