diff --git "a/openvino_model.xml" "b/openvino_model.xml"
new file mode 100644--- /dev/null
+++ "b/openvino_model.xml"
@@ -0,0 +1,12760 @@
+<?xml version="1.0"?>
+<net name="Model0" version="11">
+	<layers>
+		<layer id="1" name="input_ids" type="Parameter" version="opset1">
+			<data shape="?,?" element_type="i64" />
+			<output>
+				<port id="0" precision="I64" names="input_ids">
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="0" name="attention_mask" type="Parameter" version="opset1">
+			<data shape="?,?" element_type="i64" />
+			<output>
+				<port id="0" precision="I64" names="attention_mask">
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2" name="self.roberta.embeddings.word_embeddings.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="50265, 768" offset="0" size="38603520" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>50265</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3" name="Convert_5212" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>50265</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>50265</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4" name="self.roberta.embeddings.word_embeddings.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="50265, 1" offset="38603520" size="50265" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>50265</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5" name="Convert_5215" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>50265</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>50265</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="6" name="self.roberta.embeddings.word_embeddings.weight/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>50265</dim>
+					<dim>768</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>50265</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>50265</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="7" name="self.roberta.embeddings.word_embeddings.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="50265, 1" offset="38653785" size="100530" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>50265</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="8" name="self.roberta.embeddings.word_embeddings.weight/fq_weights_0" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>50265</dim>
+					<dim>768</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>50265</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>50265</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="9" name="self.roberta.embeddings.word_embeddings.weight/fq_weights_0/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>50265</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>50265</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="10" name="__module.roberta.embeddings.word_embeddings/aten::embedding/Convert" type="Convert" version="opset1">
+			<data destination_type="i32" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="11" name="__module.roberta.embeddings.word_embeddings/aten::embedding/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="38754315" size="4" />
+			<output>
+				<port id="0" precision="I32" />
+			</output>
+		</layer>
+		<layer id="12" name="__module.roberta.embeddings.word_embeddings/aten::embedding/Gather" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>50265</dim>
+					<dim>768</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="2" precision="I32" />
+			</input>
+			<output>
+				<port id="3" precision="FP32" names="61,inputs_embeds">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="13" name="self.roberta.embeddings.token_type_embeddings.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="1, 768" offset="38754319" size="768" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="14" name="Convert_5201" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="15" name="self.roberta.embeddings.token_type_embeddings.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1, 1" offset="38755087" size="1" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="16" name="Convert_5204" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="17" name="self.roberta.embeddings.token_type_embeddings.weight/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="18" name="self.roberta.embeddings.token_type_embeddings.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1" offset="38755088" size="2" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="19" name="self.roberta.embeddings.token_type_embeddings.weight/fq_weights_0" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="20" name="self.roberta.embeddings.token_type_embeddings.weight/fq_weights_0/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="21" name="__module.roberta/aten::slice/Slice" type="Const" version="opset1">
+			<data element_type="i64" shape="1, 514" offset="38755090" size="4112" />
+			<output>
+				<port id="0" precision="I64" names="37">
+					<dim>1</dim>
+					<dim>514</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="22" name="Constant_4630" type="Const" version="opset1">
+			<data element_type="i64" shape="2" offset="38759202" size="16" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>2</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="23" name="Constant_4631" type="Const" version="opset1">
+			<data element_type="i64" shape="2" offset="38759202" size="16" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>2</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="24" name="Constant_4627" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="38759218" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="25" name="ShapeOf_5057" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64" names="39">
+					<dim>2</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="26" name="Constant_5151" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="38759218" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="27" name="Constant_5059" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="38759226" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="28" name="Gather_5060" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>2</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64" />
+			</input>
+			<output>
+				<port id="3" precision="I64" names="36">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="29" name="Constant_4626" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="38754315" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="30" name="ScatterUpdate_4632" type="ScatterUpdate" version="opset3">
+			<input>
+				<port id="0" precision="I64">
+					<dim>2</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="4" precision="I64">
+					<dim>2</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="31" name="Constant_4635" type="Const" version="opset1">
+			<data element_type="i64" shape="2" offset="38759234" size="16" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>2</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="32" name="__module.roberta/aten::slice/Slice_1" type="StridedSlice" version="opset1">
+			<data begin_mask="1, 0" end_mask="1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+					<dim>514</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>2</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>2</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>2</dim>
+				</port>
+			</input>
+			<output>
+				<port id="4" precision="I64" names="38,buffered_token_type_ids">
+					<dim>1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="33" name="__module.roberta/aten::expand/Broadcast" type="Broadcast" version="opset3">
+			<data mode="bidirectional" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>2</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="I64" names="40">
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="34" name="__module.roberta.embeddings.token_type_embeddings/aten::embedding/Convert" type="Convert" version="opset1">
+			<data destination_type="i32" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="35" name="__module.roberta.embeddings.token_type_embeddings/aten::embedding/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="38754315" size="4" />
+			<output>
+				<port id="0" precision="I32" />
+			</output>
+		</layer>
+		<layer id="36" name="__module.roberta.embeddings.token_type_embeddings/aten::embedding/Gather" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="2" precision="I32" />
+			</input>
+			<output>
+				<port id="3" precision="FP32" names="63,token_type_embeddings.1">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="37" name="__module.roberta.embeddings/aten::add/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>768</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="64_1">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="38" name="self.roberta.embeddings.position_embeddings.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="514, 768" offset="38759250" size="394752" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>514</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="39" name="Convert_5190" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>514</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>514</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="40" name="self.roberta.embeddings.position_embeddings.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="514, 1" offset="39154002" size="514" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>514</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="41" name="Convert_5193" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>514</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>514</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="42" name="self.roberta.embeddings.position_embeddings.weight/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>514</dim>
+					<dim>768</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>514</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>514</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="43" name="self.roberta.embeddings.position_embeddings.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="514, 1" offset="39154516" size="1028" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>514</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="44" name="self.roberta.embeddings.position_embeddings.weight/fq_weights_0" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>514</dim>
+					<dim>768</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>514</dim>
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