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 release.json from sprx7767/chandassu-recognition: direct link, hf CLI and curl.
- Browser
- Download file 815 Bytes
-
https://huggingface.co/sprx7767/chandassu-recognition/resolve/main/release.json
- Command line
-
hf download hf://sprx7767/chandassu-recognition/release.json
-
curl -L -o release.json https://huggingface.co/sprx7767/chandassu-recognition/resolve/main/release.json
815 Bytes
| { | |
| "calibrated": false, | |
| "classes": 8, | |
| "data_manifest_sha256": "e73dd42275930a8ab3dfc6db64f575e6c0dc8fad83d295af66a0711381ff5a22", | |
| "github_commit": "85ce69066193b2ca3d587cb24b4b509c65c44182", | |
| "github_repository": "https://github.com/Pranav-20186017/chandassu_recognition", | |
| "legacy_packages_preserved": [ | |
| "cnn/", | |
| "byt5/", | |
| "hf_model.py" | |
| ], | |
| "loading_script": "load_hf_model.py", | |
| "model": "ordered_poem_cnn_v1", | |
| "native_run_id": "4e4a52c8970f00812f0ba5aee3818b9831f560353b94288ee553bdfa21386255", | |
| "notebook": "notebook.ipynb", | |
| "python_loader": "hf_poem.py", | |
| "seed": 17, | |
| "selected_epoch": 11, | |
| "test_accuracy": 0.9789852328663385, | |
| "test_macro_f1": 0.9484251702907207, | |
| "test_poems": 5282, | |
| "weights_sha256": "cb94cb037b13ad8ff2e4e773fa6a80a5291537c10c4a978634717fbd37f12eeb" | |
| } | |