Text Classification
Transformers
Safetensors
English
qwen3_5_text
text-generation
decider
systemone
jev
decision-model
qwen3.5
post-train
text-to-typed-output
structured-output
classification
tool-calling
routing
moderation
custom-code
Eval Results (legacy)
Instructions to use Jeetu456/decider-2b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeetu456/decider-2b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jeetu456/decider-2b")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("Jeetu456/decider-2b") model = AutoModelForCausalLM.from_pretrained("Jeetu456/decider-2b", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 1,067 Bytes
cd02163 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 | """RunPod Serverless worker: one Jev/SystemOne request (or a list) per job, billed per second.
Job input: {"input": <request>} or {"input": {"requests": [<request>, ...]}}.
The model loads once per worker from DECIDER_MODEL (repo id or folder).
"""
import os
import sys
import runpod
import torch
from huggingface_hub import snapshot_download
MODEL = os.environ.get("DECIDER_MODEL", "Jeetu456/decider-2b")
path = MODEL if os.path.isdir(MODEL) else snapshot_download(MODEL)
sys.path.insert(0, path)
from decider_model import SchemaError, load_release_model, systemone # noqa: E402
model = load_release_model(path, device="cuda" if torch.cuda.is_available() else "cpu")
def handler(job):
request = job["input"]
try:
if isinstance(request, dict) and "requests" in request:
return [systemone(model, r) for r in request["requests"]]
return systemone(model, request)
except (SchemaError, ValueError) as error:
return {"error": str(error)}
if __name__ == "__main__":
runpod.serverless.start({"handler": handler})
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