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bharathjanumpally/
tfplan-risk-classifier-deberta-v3-small

Name: tfplan-risk-classifier-deberta-v3-small
Availability: InStock

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Hugging Face bundle: Terraform Plan Risk Labels + Baseline Classifier

This bundle contains three Hugging Face‑ready repos:

Dataset: bharathja/tfplan-risk-labels-multicloud
Model: bharathja/tfplan-risk-classifier-deberta-v3-small
(Optional) CLI helper: bharathja/tfplan-risk-cli

Publish order (recommended)

1) Create the dataset repo on the Hub

Create a Dataset repo named: tfplan-risk-labels-multicloud under your account, then push the contents of tfplan-risk-labels/.

bash

cd tfplan-risk-labels
git init
git lfs install
git remote add origin https://huggingface.co/datasets/bharathja/tfplan-risk-labels-multicloud
git add .
git commit -m "init dataset"
git push -u origin main

2) Train the baseline classifier locally

bash

cd ../tfplan-risk-classifier-deberta-v3-small
python -m pip install -r requirements.txt
python train.py --dataset_path ../tfplan-risk-labels --output_dir ./out --epochs 3

3) Create the model repo and push the trained artifacts

Create a Model repo named: tfplan-risk-classifier-deberta-v3-small, then push out/.

bash

cd out
git init
git lfs install
git remote add origin https://huggingface.co/bharathja/tfplan-risk-classifier-deberta-v3-small
cp ../README.md ./README.md
git add .
git commit -m "add model"
git push -u origin main

Quick sanity check (after publish)

Load dataset

python

from datasets import load_dataset
ds = load_dataset("bharathja/tfplan-risk-labels-multicloud", data_files={"train":"train.jsonl","validation":"validation.jsonl","test":"test.jsonl"})
print(ds["train"][0]["labels"])

Load model

python

from transformers import AutoTokenizer, AutoModelForSequenceClassification
tok = AutoTokenizer.from_pretrained("bharathja/tfplan-risk-classifier-deberta-v3-small")
model = AutoModelForSequenceClassification.from_pretrained("bharathja/tfplan-risk-classifier-deberta-v3-small")

bharathjanumpally/tfplan-risk-classifier-deberta-v3-small

Hugging Face bundle: Terraform Plan Risk Labels + Baseline Classifier

Publish order (recommended)

1) Create the dataset repo on the Hub

2) Train the baseline classifier locally

3) Create the model repo and push the trained artifacts

Quick sanity check (after publish)

Load dataset

Load model

bharathjanumpally/
tfplan-risk-classifier-deberta-v3-small