Model Details
Full Model IDfarbodtavakkoli/OTel-Reranker-0.6B
Pipeline / Tasktext-classification
Library—
Downloads (all-time)1.1M
Likes0
Last Modified3/14/2026
Author / Orgfarbodtavakkoli
PrivateNo — public
⚡ Quick Usage (Python)
Using the 🤗 Transformers library. Install with pip install transformers
from transformers import pipeline
# Load the model
pipe = pipeline("text-classification", model="farbodtavakkoli/OTel-Reranker-0.6B")
# Run inference
result = pipe("Your input here")
print(result)🏷️ Tags
safetensorsqwen3telecomtelecommunicationsgsmafine-tunedtext-classificationenbase_model:Qwen/Qwen3-0.6Bbase_model:finetune:Qwen/Qwen3-0.6Blicense:apache-2.0region:us
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Access model files, inference API, and full documentation on Hugging Face.
Open on Hugging Face →Browse Model Files ↗← Browse All Models🏷️ Task: Text Classification
This model is designed for the Text Classification task. Explore more models for this use case.
All Text Classification Models →📊 Popularity
⬇ Downloads1.1M
❤️ Community Likes0
🛠️ Requirements
- →Check docs for installation steps.
- →Python 3.8+ recommended for Transformers.
- →GPU (CUDA) speeds up inference significantly.
- →Use model.half() for fp16 on limited VRAM.