---
tags:
- text-classification
- sentiment-analysis
pipeline_tag: text-classification
---

# Model Name
ft-Malay-bert

## Model Description
This model is a fine-tuned version of [BERT](https://huggingface.co/bert-base-uncased) for the Malay language. It has been trained on [describe your dataset] to perform [specific task, e.g., sentiment analysis, classification, etc.].

## Intended Uses & Limitations
This model is intended for [describe intended uses]. It should be noted that [mention any limitations or biases].

## How to Use
```python
from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("rmtariq/ft-Malay-bert")
tokenizer = AutoTokenizer.from_pretrained("rmtariq/ft-Malay-bert")

inputs = tokenizer("Your text here", return_tensors="pt")
outputs = model(**inputs)