# assemblyai-distilbert-base-uncased-sst2-ov

**Repository Path**: modelee/assemblyai-distilbert-base-uncased-sst2-ov

## Basic Information

- **Project Name**: assemblyai-distilbert-base-uncased-sst2-ov
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: int8-ptq
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 3
- **Forks**: 1
- **Created**: 2023-05-24
- **Last Updated**: 2025-07-01

## Categories & Tags

**Categories**: llm

**Tags**: None

## README

---
language:
- en
tags:
- openvino
---

# assemblyai/distilbert-base-uncased-sst2

This is the [assemblyai/distilbert-base-uncased-sst2](https://huggingface.co/assemblyai/distilbert-base-uncased-sst2) model, quantized with An example of how to do inference on this model:
```python
from optimum.intel.openvino import OVModelForSequenceClassification
from transformers import AutoTokenizer, pipeline

# model_id should be set to either a local directory or a model available on the HuggingFace hub.
model_id = "helenai/assemblyai-distilbert-base-uncased-sst2-ov"
tokenizer = AutoTokenizer.from_pretrained(model_id)
model = OVModelForSequenceClassification.from_pretrained(model_id, revision='int8-ptq')
pipe = pipeline("text-classification", model=model, tokenizer=tokenizer)
result = pipe("I like you. I love you")
print(result)
```