Text Classification
Transformers
Safetensors
Persian
hes_shenaas_rizehpizeh
persian
farsi
emotion-classification
albert
small-model
custom_code
Instructions to use Reza2kn/Hes-Shenaas-RizehPizeh-v0.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Reza2kn/Hes-Shenaas-RizehPizeh-v0.1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Reza2kn/Hes-Shenaas-RizehPizeh-v0.1", trust_remote_code=True)# Load model directly from transformers import AutoModelForSequenceClassification model = AutoModelForSequenceClassification.from_pretrained("Reza2kn/Hes-Shenaas-RizehPizeh-v0.1", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "name": "Hes-Shenaas-RizehPizeh-v0.1", | |
| "self_contained": true, | |
| "parameters": 12040967, | |
| "source_checkpoint_sha256": "9fc3e1d865d7177a0f2a3c5d90e2114357b355b98ac0b80292a7d9d5e9a69d38", | |
| "model_safetensors_sha256": "804080d31ccbe87b4a607e725394ad2b57302c4ab4cbf617b69bb3b7d7d96985", | |
| "test_accuracy": 0.7002606429192006, | |
| "test_macro_f1": 0.6916643550452649 | |
| } | |