
# Palak/albert-large-v2_squad

This is the [Palak/albert-large-v2_squad](https://huggingface.co/Palak/albert-large-v2_squad) model converted to [OpenVINO](https://openvino.ai), for accellerated inference.

An example of how to do inference on this model:
```python
from optimum.intel.openvino import OVModelForQuestionAnswering
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/Palak-albert-large-v2_squad-ov"
tokenizer = AutoTokenizer.from_pretrained(model_id)
model = OVModelForQuestionAnswering.from_pretrained(model_id)
pipe = pipeline("question-answering", model=model, tokenizer=tokenizer)
result = pipe("What is OpenVINO?", "OpenVINO is a framework that accelerates deep learning inferencing")
print(result)
```


{"language": ["en"], "tags": ["openvino"]}
transformers openvino albert question-answering en endpoints_compatible region:us
TAGS
#transformers #openvino #albert #question-answering #en #endpoints_compatible #region-us 


# Palak/albert-large-v2_squad

This is the Palak/albert-large-v2_squad model converted to OpenVINO, for accellerated inference.

An example of how to do inference on this model:



# Palak/albert-large-v2_squad

This is the Palak/albert-large-v2_squad model converted to OpenVINO, for accellerated inference.

An example of how to do inference on this model:
TAGS
#transformers #openvino #albert #question-answering #en #endpoints_compatible #region-us 
 # Palak/albert-large-v2_squad

This is the Palak/albert-large-v2_squad model converted to OpenVINO, for accellerated inference.

An example of how to do inference on this model:
TAGS
#transformers #openvino #albert #question-answering #en #endpoints_compatible #region-us 
# Palak/albert-large-v2_squad

This is the Palak/albert-large-v2_squad model converted to OpenVINO, for accellerated inference.

An example of how to do inference on this model: