Text Classification
Transformers
Safetensors
Laya
English
modernbert
feature-extraction
llm-router
model-routing
agents
ai-agents
tool-risk
guardrails
zero-shot-classification
multiple-choice
calibrated-probabilities
jev
decision-model
calibration
mcp
mcp-server
distillation
text-embeddings-inference
Instructions to use gparitosh007/Open-Decision-Model-150M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gparitosh007/Open-Decision-Model-150M with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="gparitosh007/Open-Decision-Model-150M")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("gparitosh007/Open-Decision-Model-150M") model = AutoModel.from_pretrained("gparitosh007/Open-Decision-Model-150M", device_map="auto") - Laya
How to use gparitosh007/Open-Decision-Model-150M with Laya:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
Download decision_config.json from gparitosh007/Open-Decision-Model-150M: direct link, hf CLI and curl.
- Browser
- Download file 430 Bytes
-
https://huggingface.co/gparitosh007/Open-Decision-Model-150M/resolve/main/decision_config.json
- Command line
-
hf download hf://gparitosh007/Open-Decision-Model-150M/decision_config.json
-
curl -L -o decision_config.json https://huggingface.co/gparitosh007/Open-Decision-Model-150M/resolve/main/decision_config.json
430 Bytes
| { | |
| "format_version": 1, | |
| "version": "v2", | |
| "option_order_rules": { | |
| "choice": "the probabilities follow the key order of the criteria mapping in the request", | |
| "score": "the probabilities follow the criteria order; index 0 is the lowest level", | |
| "noul": [ | |
| "yes", | |
| "no" | |
| ] | |
| }, | |
| "temperature": 3.986253499984741, | |
| "model_version": "decision-model 0.1.0", | |
| "base_model": "answerdotai/ModernBERT-base" | |
| } | |