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
Download source/src/decider/__init__.py from Jeetu456/decider-2b: direct link, hf CLI and curl.
- Browser
- Download file 421 Bytes
-
https://huggingface.co/Jeetu456/decider-2b/resolve/main/source/src/decider/__init__.py
- Command line
-
hf download hf://Jeetu456/decider-2b/source/src/decider/__init__.py
-
curl -L -o __init__.py https://huggingface.co/Jeetu456/decider-2b/resolve/main/source/src/decider/__init__.py
421 Bytes
| """Decider 2B: typed decisions for Jev/SystemOne requests, one forward pass per request.""" | |
| from ._core import (DeciderModel, SchemaError, encode_record, load_release_model, # noqa: F401 | |
| systemone, validate_request) | |
| from .api import Decider | |
| __all__ = ["Decider", "DeciderModel", "SchemaError", "encode_record", "load_release_model", "systemone", | |
| "validate_request"] | |
| __version__ = "2.0.0" | |