---
language:
- hi
- en
library_name: transformers
tags:
- sentiment-analysis
- hinglish
- onnx
---

# Hinglish sentiment models

Two Hinglish (Hindi-English code-mixed) sentiment models.

| Folder | Description |
|---|---|
| `model_1.0/` | Newer model with better accuracy. Contains `hinglish_model_checkpoint` (PyTorch), `hinglish_onnx_model` (ONNX) and `hinglish_onnx_fp16` (optimized fp16 ONNX). |
| `model_-1.0/` | Older model with better speed (optimized ONNX). |

## Usage

```python
from transformers import AutoTokenizer, AutoModelForSequenceClassification

repo = "v-krishna07/hinglish-models"
sub = "model_1.0/hinglish_model_checkpoint"
tok = AutoTokenizer.from_pretrained(repo, subfolder=sub)
model = AutoModelForSequenceClassification.from_pretrained(repo, subfolder=sub)
```

For the ONNX folders, use `optimum`:

```python
from optimum.onnxruntime import ORTModelForSequenceClassification

model = ORTModelForSequenceClassification.from_pretrained(
    repo, subfolder="model_-1.0", file_name="model_optimized.onnx"
)
```