diff --git "a/openvino_model.xml" "b/openvino_model.xml"
new file mode 100644--- /dev/null
+++ "b/openvino_model.xml"
@@ -0,0 +1,30765 @@
+<?xml version="1.0"?>
+<net name="torch_jit" version="11">
+	<layers>
+		<layer id="2" name="input_ids" type="Parameter" version="opset1">
+			<data shape="?,?" element_type="i64" />
+			<rt_info>
+				<attribute name="fused_names" version="0" value="input_ids" />
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" names="input_ids">
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1" name="attention_mask" type="Parameter" version="opset1">
+			<data shape="?,?" element_type="i64" />
+			<rt_info>
+				<attribute name="fused_names" version="0" value="attention_mask" />
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" names="attention_mask">
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="0" name="token_type_ids" type="Parameter" version="opset1">
+			<data shape="?,?" element_type="i64" />
+			<rt_info>
+				<attribute name="fused_names" version="0" value="token_type_ids" />
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" names="token_type_ids">
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3" name="qa_outputs.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="2" offset="0" size="8" />
+			<rt_info>
+				<attribute name="fused_names" version="0" value="qa_outputs.bias" />
+			</rt_info>
+			<output>
+				<port id="0" precision="FP32" names="qa_outputs.bias">
+					<dim>2</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4" name="bert.encoder.layer.11.output.dense.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="768" offset="8" size="3072" />
+			<rt_info>
+				<attribute name="fused_names" version="0" value="bert.encoder.layer.11.output.dense.bias" />
+			</rt_info>
+			<output>
+				<port id="0" precision="FP32" names="bert.encoder.layer.11.output.dense.bias">
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5" name="bert.encoder.layer.11.intermediate.dense.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="3072" offset="3080" size="12288" />
+			<rt_info>
+				<attribute name="fused_names" version="0" value="bert.encoder.layer.11.intermediate.dense.bias" />
+			</rt_info>
+			<output>
+				<port id="0" precision="FP32" names="bert.encoder.layer.11.intermediate.dense.bias">
+					<dim>3072</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="6" name="bert.encoder.layer.11.attention.output.dense.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="768" offset="15368" size="3072" />
+			<rt_info>
+				<attribute name="fused_names" version="0" value="bert.encoder.layer.11.attention.output.dense.bias" />
+			</rt_info>
+			<output>
+				<port id="0" precision="FP32" names="bert.encoder.layer.11.attention.output.dense.bias">
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="7" name="bert.encoder.layer.11.attention.self.query.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="768" offset="18440" size="3072" />
+			<rt_info>
+				<attribute name="fused_names" version="0" value="bert.encoder.layer.11.attention.self.query.bias" />
+			</rt_info>
+			<output>
+				<port id="0" precision="FP32" names="bert.encoder.layer.11.attention.self.query.bias">
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="8" name="bert.encoder.layer.10.output.dense.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="768" offset="21512" size="3072" />
+			<rt_info>
+				<attribute name="fused_names" version="0" value="bert.encoder.layer.10.output.dense.bias" />
+			</rt_info>
+			<output>
+				<port id="0" precision="FP32" names="bert.encoder.layer.10.output.dense.bias">
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="9" name="bert.encoder.layer.10.intermediate.dense.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="3072" offset="24584" size="12288" />
+			<rt_info>
+				<attribute name="fused_names" version="0" value="bert.encoder.layer.10.intermediate.dense.bias" />
+			</rt_info>
+			<output>
+				<port id="0" precision="FP32" names="bert.encoder.layer.10.intermediate.dense.bias">
+					<dim>3072</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="10" name="bert.encoder.layer.10.attention.output.dense.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="768" offset="36872" size="3072" />
+			<rt_info>
+				<attribute name="fused_names" version="0" value="bert.encoder.layer.10.attention.output.dense.bias" />
+			</rt_info>
+			<output>
+				<port id="0" precision="FP32" names="bert.encoder.layer.10.attention.output.dense.bias">
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="11" name="bert.encoder.layer.10.attention.self.query.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="768" offset="39944" size="3072" />
+			<rt_info>
+				<attribute name="fused_names" version="0" value="bert.encoder.layer.10.attention.self.query.bias" />
+			</rt_info>
+			<output>
+				<port id="0" precision="FP32" names="bert.encoder.layer.10.attention.self.query.bias">
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="12" name="bert.encoder.layer.9.output.dense.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="768" offset="43016" size="3072" />
+			<rt_info>
+				<attribute name="fused_names" version="0" value="bert.encoder.layer.9.output.dense.bias" />
+			</rt_info>
+			<output>
+				<port id="0" precision="FP32" names="bert.encoder.layer.9.output.dense.bias">
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="13" name="bert.encoder.layer.9.intermediate.dense.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="3072" offset="46088" size="12288" />
+			<rt_info>
+				<attribute name="fused_names" version="0" value="bert.encoder.layer.9.intermediate.dense.bias" />
+			</rt_info>
+			<output>
+				<port id="0" precision="FP32" names="bert.encoder.layer.9.intermediate.dense.bias">
+					<dim>3072</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="14" name="bert.encoder.layer.9.attention.output.dense.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="768" offset="58376" size="3072" />
+			<rt_info>
+				<attribute name="fused_names" version="0" value="bert.encoder.layer.9.attention.output.dense.bias" />
+			</rt_info>
+			<output>
+				<port id="0" precision="FP32" names="bert.encoder.layer.9.attention.output.dense.bias">
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="15" name="bert.encoder.layer.9.attention.self.query.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="768" offset="61448" size="3072" />
+			<rt_info>
+				<attribute name="fused_names" version="0" value="bert.encoder.layer.9.attention.self.query.bias" />
+			</rt_info>
+			<output>
+				<port id="0" precision="FP32" names="bert.encoder.layer.9.attention.self.query.bias">
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="16" name="bert.encoder.layer.8.output.dense.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="768" offset="64520" size="3072" />
+			<rt_info>
+				<attribute name="fused_names" version="0" value="bert.encoder.layer.8.output.dense.bias" />
+			</rt_info>
+			<output>
+				<port id="0" precision="FP32" names="bert.encoder.layer.8.output.dense.bias">
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="17" name="bert.encoder.layer.8.intermediate.dense.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="3072" offset="67592" size="12288" />
+			<rt_info>
+				<attribute name="fused_names" version="0" value="bert.encoder.layer.8.intermediate.dense.bias" />
+			</rt_info>
+			<output>
+				<port id="0" precision="FP32" names="bert.encoder.layer.8.intermediate.dense.bias">
+					<dim>3072</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="18" name="bert.encoder.layer.8.attention.output.dense.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="768" offset="79880" size="3072" />
+			<rt_info>
+				<attribute name="fused_names" version="0" value="bert.encoder.layer.8.attention.output.dense.bias" />
+			</rt_info>
+			<output>
+				<port id="0" precision="FP32" names="bert.encoder.layer.8.attention.output.dense.bias">
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="19" name="bert.encoder.layer.8.attention.self.query.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="768" offset="82952" size="3072" />
+			<rt_info>
+				<attribute name="fused_names" version="0" value="bert.encoder.layer.8.attention.self.query.bias" />
+			</rt_info>
+			<output>
+				<port id="0" precision="FP32" names="bert.encoder.layer.8.attention.self.query.bias">
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="20" name="bert.encoder.layer.7.output.dense.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="768" offset="86024" size="3072" />
+			<rt_info>
+				<attribute name="fused_names" version="0" value="bert.encoder.layer.7.output.dense.bias" />
+			</rt_info>
+			<output>
+				<port id="0" precision="FP32" names="bert.encoder.layer.7.output.dense.bias">
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="21" name="bert.encoder.layer.7.intermediate.dense.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="3072" offset="89096" size="12288" />
+			<rt_info>
+				<attribute name="fused_names" version="0" value="bert.encoder.layer.7.intermediate.dense.bias" />
+			</rt_info>
+			<output>
+				<port id="0" precision="FP32" names="bert.encoder.layer.7.intermediate.dense.bias">
+					<dim>3072</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="22" name="bert.encoder.layer.7.attention.output.dense.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="768" offset="101384" size="3072" />
+			<rt_info>
+				<attribute name="fused_names" version="0" value="bert.encoder.layer.7.attention.output.dense.bias" />
+			</rt_info>
+			<output>
+				<port id="0" precision="FP32" names="bert.encoder.layer.7.attention.output.dense.bias">
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="23" name="bert.encoder.layer.7.attention.self.query.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="768" offset="104456" size="3072" />
+			<rt_info>
+				<attribute name="fused_names" version="0" value="bert.encoder.layer.7.attention.self.query.bias" />
+			</rt_info>
+			<output>
+				<port id="0" precision="FP32" names="bert.encoder.layer.7.attention.self.query.bias">
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="24" name="bert.encoder.layer.6.output.dense.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="768" offset="107528" size="3072" />
+			<rt_info>
+				<attribute name="fused_names" version="0" value="bert.encoder.layer.6.output.dense.bias" />
+			</rt_info>
+			<output>
+				<port id="0" precision="FP32" names="bert.encoder.layer.6.output.dense.bias">
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="25" name="bert.encoder.layer.6.intermediate.dense.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="3072" offset="110600" size="12288" />
+			<rt_info>
+				<attribute name="fused_names" version="0" value="bert.encoder.layer.6.intermediate.dense.bias" />
+			</rt_info>
+			<output>
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+					<dim>3072</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="26" name="bert.encoder.layer.6.attention.output.dense.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="768" offset="122888" size="3072" />
+			<rt_info>
+				<attribute name="fused_names" version="0" value="bert.encoder.layer.6.attention.output.dense.bias" />
+			</rt_info>
+			<output>
+				<port id="0" precision="FP32" names="bert.encoder.layer.6.attention.output.dense.bias">
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="27" name="bert.encoder.layer.6.attention.self.query.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="768" offset="125960" size="3072" />
+			<rt_info>
+				<attribute name="fused_names" version="0" value="bert.encoder.layer.6.attention.self.query.bias" />
+			</rt_info>
+			<output>
+				<port id="0" precision="FP32" names="bert.encoder.layer.6.attention.self.query.bias">
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="28" name="bert.encoder.layer.5.output.dense.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="768" offset="129032" size="3072" />
+			<rt_info>
+				<attribute name="fused_names" version="0" value="bert.encoder.layer.5.output.dense.bias" />
+			</rt_info>
+			<output>
+				<port id="0" precision="FP32" names="bert.encoder.layer.5.output.dense.bias">
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="29" name="bert.encoder.layer.5.intermediate.dense.bias" type="Const" version="opset1">
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+			<rt_info>
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+			<output>
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+					<dim>3072</dim>
+				</port>
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+			<output>
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+					<dim>768</dim>
+				</port>
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+		<layer id="31" name="bert.encoder.layer.5.attention.self.query.bias" type="Const" version="opset1">
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+			<rt_info>
+				<attribute name="fused_names" version="0" value="bert.encoder.layer.5.attention.self.query.bias" />
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+			<output>
+				<port id="0" precision="FP32" names="bert.encoder.layer.5.attention.self.query.bias">
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="32" name="bert.encoder.layer.4.output.dense.bias" type="Const" version="opset1">
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+					<dim>768</dim>
+				</port>
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+					<dim>768</dim>
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+					<dim>768</dim>
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+					<dim>768</dim>
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+					<dim>768</dim>
+				</port>
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+		<layer id="40" name="bert.encoder.layer.2.output.dense.bias" type="Const" version="opset1">
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+			<rt_info>
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