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---
language: en
license: apache-2.0
tags:
- legal
- contract-analysis
- clause-classification
- onnx
- quantized
- int8
- legal-bert
- cuad
pipeline_tag: text-classification
base_model: nlpaueb/legal-bert-base-uncased
datasets:
- theatticusproject/cuad-qa
library_name: optimum
---
# 🛡️ ClauseGuard CUAD Classifier — ONNX INT8 Quantized
**ONNX Runtime + dynamic INT8 quantized** version of the ClauseGuard legal clause classifier for **2-4x faster CPU inference**.
## Model Details
| Property | Value |
|----------|-------|
| Base model | `nlpaueb/legal-bert-base-uncased` (110M params) |
| LoRA adapter | `Mokshith31/legalbert-contract-clause-classification` |
| Export method | merge_and_unload() → ONNX → dynamic INT8 quantization |
| Labels | 41 CUAD clause categories |
| ONNX FP32 size | 438.3 MB |
| **INT8 size** | **110.3 MB (75% reduction)** |
| Runtime | ONNX Runtime (CPU) |
| Expected speedup | **2-4x** over PyTorch on CPU |
## Usage
```python
from optimum.onnxruntime import ORTModelForSequenceClassification
from transformers import AutoTokenizer
import torch
model = ORTModelForSequenceClassification.from_pretrained(
"gaurv007/clauseguard-onnx-int8",
file_name="model_quantized.onnx"
)
tokenizer = AutoTokenizer.from_pretrained("gaurv007/clauseguard-onnx-int8")
texts = ["The company may terminate your account at any time without notice."]
inputs = tokenizer(texts, return_tensors="pt", padding=True, truncation=True, max_length=512)
with torch.no_grad():
outputs = model(**inputs)
probs = torch.softmax(outputs.logits, dim=-1)
predicted = probs.argmax(dim=-1)
print(f"Label: {model.config.id2label[str(predicted.item())]}")
print(f"Confidence: {probs.max().item():.3f}")
```
## 41 CUAD Labels
Document Name, Parties, Agreement Date, Effective Date, Expiration Date, Renewal Term, Notice Period to Terminate Renewal, Governing Law, Most Favored Nation, Non-Compete, Exclusivity, No-Solicit of Customers, No-Solicit of Employees, Non-Disparagement, Termination for Convenience, ROFR/ROFO/ROFN, Change of Control, Anti-Assignment, Revenue/Profit Sharing, Price Restriction, Minimum Commitment, Volume Restriction, IP Ownership Assignment, Joint IP Ownership, License Grant, Non-Transferable License, Affiliate License-Licensor, Affiliate License-Licensee, Unlimited/All-You-Can-Eat License, Irrevocable or Perpetual License, Source Code Escrow, Post-Termination Services, Audit Rights, Uncapped Liability, Cap on Liability, Liquidated Damages, Warranty Duration, Insurance, Covenant Not to Sue, Third Party Beneficiary, Other
## Part of ClauseGuard
This model powers [ClauseGuard](https://huggingface.co/spaces/gaurv007/ClauseGuard), the open-source legal contract analysis tool.
## License
Apache 2.0