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)# pip install -U transformers accelerate # 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
Download tokenizer.json from Reza2kn/Hes-Shenaas-RizehPizeh-v0.1: direct link, hf CLI and curl.
- Browser
- Download file 2.21 MB
-
https://huggingface.co/Reza2kn/Hes-Shenaas-RizehPizeh-v0.1/resolve/main/tokenizer.json
- Command line
-
hf download hf://Reza2kn/Hes-Shenaas-RizehPizeh-v0.1/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/Reza2kn/Hes-Shenaas-RizehPizeh-v0.1/resolve/main/tokenizer.json
2.21 MB
File too large to display, you can check the raw version instead.