|
--- |
|
language: |
|
- en |
|
tags: |
|
- openvino |
|
--- |
|
|
|
# echarlaix/bert-large-uncased-whole-word-masking-finetuned-sst-2 |
|
|
|
This is the [echarlaix/bert-large-uncased-whole-word-masking-finetuned-sst-2](https://huggingface.co/echarlaix/bert-large-uncased-whole-word-masking-finetuned-sst-2) model converted to [OpenVINO](https://openvino.ai), for accelerated inference. |
|
|
|
An example of how to do inference on this model: |
|
```python |
|
# pip install optimum[openvino] |
|
from optimum.intel 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/echarlaix-bert-large-uncased-whole-word-masking-finetuned-sst-2-ov" |
|
tokenizer = AutoTokenizer.from_pretrained(model_id) |
|
model = OVModelForSequenceClassification.from_pretrained(model_id) |
|
pipe = pipeline("text-classification", model=model, tokenizer=tokenizer) |
|
result = pipe("hello world") |
|
print(result) |
|
``` |
|
|
|
|
