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config.json

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+{
+  "_name_or_path": "AmelieSchreiber/esm2_t6_8M_UR50D_sequence_classifier_v1",
+  "architectures": [
+    "EsmForSequenceClassification"
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+  "esmfold_config": null,
+  "hidden_act": "gelu",
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+  "id2label": {
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+    "1": "LABEL_1",
+    "2": "LABEL_2"
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+  "intermediate_size": 1280,
+  "is_folding_model": false,
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+  "layer_norm_eps": 1e-05,
+  "mask_token_id": 32,
+  "max_position_embeddings": 1026,
+  "model_type": "esm",
+  "num_attention_heads": 20,
+  "num_hidden_layers": 6,
+  "pad_token_id": 1,
+  "position_embedding_type": "rotary",
+  "problem_type": "single_label_classification",
+  "token_dropout": true,
+  "transformers_version": "4.36.0.dev0",
+  "use_cache": true,
+  "vocab_list": null,
+  "vocab_size": 33
+}

onnx/model.onnx

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+size 30298431

onnx/model_quantized.onnx

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+oid sha256:6f6f4897c0f16bf72a17c387c727c15a3fae6af792a346628675e88c92b72c85
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quantize_config.json

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+{
+    "per_channel": true,
+    "reduce_range": true,
+    "per_model_config": {
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+            "op_types": [
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+                "Erf",
+                "Softmax",
+                "ReduceSum",
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+                "Transpose",
+                "Sub",
+                "Einsum",
+                "Reshape",
+                "Equal",
+                "Where",
+                "Add",
+                "Gather",
+                "Slice",
+                "Cos",
+                "Gemm",
+                "Identity",
+                "Neg",
+                "Unsqueeze",
+                "Range",
+                "Constant",
+                "Shape",
+                "Cast",
+                "MatMul",
+                "Pow",
+                "Div",
+                "Sin",
+                "Mul",
+                "Tanh",
+                "ReduceMean"
+            ],
+            "weight_type": "QInt8"
+        }
+    }
+}

tokenizer.json

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