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hinglish-models
v-krishna07/hinglish-models
hinglish-models is a machine learning model from v-krishna07. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers.
Two Hinglish (Hindi-English code-mixed) sentiment models.
Access
Public
Updated Sep 19, 2026
Repo size
3.4 GB
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0
Public
Repo makeup
Click a slice to open those files.
.onnx2.2 GB · 66%
At a glance
- Library
- transformers
- Access
- Public
- Created
- Sep 19, 2026
- Updated
- Sep 19, 2026
- SHA
- 6332351d
Model card
From the Hugging Face model README
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
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:
from optimum.onnxruntime import ORTModelForSequenceClassification
model = ORTModelForSequenceClassification.from_pretrained(
repo, subfolder="model_-1.0", file_name="model_optimized.onnx"
)
- Library
- transformers
- Languages
- hi, en
- Created
- Sep 19, 2026
- Updated
- Sep 19, 2026