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
Commit History
3 days ago
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docs(release): link complete eight-class source revision
Verified signaturefadf4f7 -
feat(cnn): publish eight-class weights, loader, and notebook
Verified signaturePublish the selected seed-17 ordered poem CNN as the root default and cnn-eight-class package. Include the self-contained Transformers loader, loading script, updated notebook, evaluation, and source revision. Preserve all original cnn/ and byt5/ packages and their hf_model.py loader.d8539db