Upload model

README.md

@@ -1,3 +1,28 @@
 ---
 license: apache-2.0
+datasets:
+- food101
+tags:
+- openvino
+- int8
 ---
+
+## [Vision Transformer (ViT)](https://huggingface.co/juliensimon/autotrain-food101-1471154050) quantized and exported to the OpenVINO IR.
+
+## Model Details
+**Model Description:** This ViT model fine-tuned on Food-101 was statically quantized and exported to the OpenVINO IR using [optimum](https://huggingface.co/docs/optimum/intel/optimization_ov).
+
+## Usage example
+
+You can use this model with Transformers *pipeline*.
+
+```python
+from transformers import pipeline, AutoFeatureExtractor
+from optimum.intel.openvino import OVModelForImageClassification
+​
+model_id = "echarlaix/vit-food101-int8"
+model = OVModelForImageClassification.from_pretrained(model_id)
+feature_extractor = AutoFeatureExtractor.from_pretrained(model_id)
+pipe = pipeline("image-classification", model=model, feature_extractor=feature_extractor)
+outputs = pipe("http://farm2.staticflickr.com/1375/1394861946_171ea43524_z.jpg")
+```

config.json

@@ -0,0 +1,232 @@
+{
+  "_name_or_path": "juliensimon/autotrain-food101-1471154050",
+  "architectures": [
+    "ViTForImageClassification"
+  ],
+  "attention_probs_dropout_prob": 0.0,
+  "encoder_stride": 16,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.0,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "apple_pie",
+    "1": "baby_back_ribs",
+    "2": "baklava",
+    "3": "beef_carpaccio",
+    "4": "beef_tartare",
+    "5": "beet_salad",
+    "6": "beignets",
+    "7": "bibimbap",
+    "8": "bread_pudding",
+    "9": "breakfast_burrito",
+    "10": "bruschetta",
+    "11": "caesar_salad",
+    "12": "cannoli",
+    "13": "caprese_salad",
+    "14": "carrot_cake",
+    "15": "ceviche",
+    "16": "cheese_plate",
+    "17": "cheesecake",
+    "18": "chicken_curry",
+    "19": "chicken_quesadilla",
+    "20": "chicken_wings",
+    "21": "chocolate_cake",
+    "22": "chocolate_mousse",
+    "23": "churros",
+    "24": "clam_chowder",
+    "25": "club_sandwich",
+    "26": "crab_cakes",
+    "27": "creme_brulee",
+    "28": "croque_madame",
+    "29": "cup_cakes",
+    "30": "deviled_eggs",
+    "31": "donuts",
+    "32": "dumplings",
+    "33": "edamame",
+    "34": "eggs_benedict",
+    "35": "escargots",
+    "36": "falafel",
+    "37": "filet_mignon",
+    "38": "fish_and_chips",
+    "39": "foie_gras",
+    "40": "french_fries",
+    "41": "french_onion_soup",
+    "42": "french_toast",
+    "43": "fried_calamari",
+    "44": "fried_rice",
+    "45": "frozen_yogurt",
+    "46": "garlic_bread",
+    "47": "gnocchi",
+    "48": "greek_salad",
+    "49": "grilled_cheese_sandwich",
+    "50": "grilled_salmon",
+    "51": "guacamole",
+    "52": "gyoza",
+    "53": "hamburger",
+    "54": "hot_and_sour_soup",
+    "55": "hot_dog",
+    "56": "huevos_rancheros",
+    "57": "hummus",
+    "58": "ice_cream",
+    "59": "lasagna",
+    "60": "lobster_bisque",
+    "61": "lobster_roll_sandwich",
+    "62": "macaroni_and_cheese",
+    "63": "macarons",
+    "64": "miso_soup",
+    "65": "mussels",
+    "66": "nachos",
+    "67": "omelette",
+    "68": "onion_rings",
+    "69": "oysters",
+    "70": "pad_thai",
+    "71": "paella",
+    "72": "pancakes",
+    "73": "panna_cotta",
+    "74": "peking_duck",
+    "75": "pho",
+    "76": "pizza",
+    "77": "pork_chop",
+    "78": "poutine",
+    "79": "prime_rib",
+    "80": "pulled_pork_sandwich",
+    "81": "ramen",
+    "82": "ravioli",
+    "83": "red_velvet_cake",
+    "84": "risotto",
+    "85": "samosa",
+    "86": "sashimi",
+    "87": "scallops",
+    "88": "seaweed_salad",
+    "89": "shrimp_and_grits",
+    "90": "spaghetti_bolognese",
+    "91": "spaghetti_carbonara",
+    "92": "spring_rolls",
+    "93": "steak",
+    "94": "strawberry_shortcake",
+    "95": "sushi",
+    "96": "tacos",
+    "97": "takoyaki",
+    "98": "tiramisu",
+    "99": "tuna_tartare",
+    "100": "waffles"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "apple_pie": "0",
+    "baby_back_ribs": "1",
+    "baklava": "2",
+    "beef_carpaccio": "3",
+    "beef_tartare": "4",
+    "beet_salad": "5",
+    "beignets": "6",
+    "bibimbap": "7",
+    "bread_pudding": "8",
+    "breakfast_burrito": "9",
+    "bruschetta": "10",
+    "caesar_salad": "11",
+    "cannoli": "12",
+    "caprese_salad": "13",
+    "carrot_cake": "14",
+    "ceviche": "15",
+    "cheese_plate": "16",
+    "cheesecake": "17",
+    "chicken_curry": "18",
+    "chicken_quesadilla": "19",
+    "chicken_wings": "20",
+    "chocolate_cake": "21",
+    "chocolate_mousse": "22",
+    "churros": "23",
+    "clam_chowder": "24",
+    "club_sandwich": "25",
+    "crab_cakes": "26",
+    "creme_brulee": "27",
+    "croque_madame": "28",
+    "cup_cakes": "29",
+    "deviled_eggs": "30",
+    "donuts": "31",
+    "dumplings": "32",
+    "edamame": "33",
+    "eggs_benedict": "34",
+    "escargots": "35",
+    "falafel": "36",
+    "filet_mignon": "37",
+    "fish_and_chips": "38",
+    "foie_gras": "39",
+    "french_fries": "40",
+    "french_onion_soup": "41",
+    "french_toast": "42",
+    "fried_calamari": "43",
+    "fried_rice": "44",
+    "frozen_yogurt": "45",
+    "garlic_bread": "46",
+    "gnocchi": "47",
+    "greek_salad": "48",
+    "grilled_cheese_sandwich": "49",
+    "grilled_salmon": "50",
+    "guacamole": "51",
+    "gyoza": "52",
+    "hamburger": "53",
+    "hot_and_sour_soup": "54",
+    "hot_dog": "55",
+    "huevos_rancheros": "56",
+    "hummus": "57",
+    "ice_cream": "58",
+    "lasagna": "59",
+    "lobster_bisque": "60",
+    "lobster_roll_sandwich": "61",
+    "macaroni_and_cheese": "62",
+    "macarons": "63",
+    "miso_soup": "64",
+    "mussels": "65",
+    "nachos": "66",
+    "omelette": "67",
+    "onion_rings": "68",
+    "oysters": "69",
+    "pad_thai": "70",
+    "paella": "71",
+    "pancakes": "72",
+    "panna_cotta": "73",
+    "peking_duck": "74",
+    "pho": "75",
+    "pizza": "76",
+    "pork_chop": "77",
+    "poutine": "78",
+    "prime_rib": "79",
+    "pulled_pork_sandwich": "80",
+    "ramen": "81",
+    "ravioli": "82",
+    "red_velvet_cake": "83",
+    "risotto": "84",
+    "samosa": "85",
+    "sashimi": "86",
+    "scallops": "87",
+    "seaweed_salad": "88",
+    "shrimp_and_grits": "89",
+    "spaghetti_bolognese": "90",
+    "spaghetti_carbonara": "91",
+    "spring_rolls": "92",
+    "steak": "93",
+    "strawberry_shortcake": "94",
+    "sushi": "95",
+    "tacos": "96",
+    "takoyaki": "97",
+    "tiramisu": "98",
+    "tuna_tartare": "99",
+    "waffles": "100"
+  },
+  "layer_norm_eps": 1e-12,
+  "max_length": 128,
+  "model_type": "vit",
+  "num_attention_heads": 12,
+  "num_channels": 3,
+  "num_hidden_layers": 12,
+  "padding": "max_length",
+  "patch_size": 16,
+  "problem_type": "single_label_classification",
+  "qkv_bias": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.23.1"
+}

eval_results.json

@@ -0,0 +1 @@
+{"accuracy": 0.8766336633663366, "total_time_in_seconds": 243.87956921099976, "samples_per_second": 20.70694161195127, "latency_in_seconds": 0.048292984002178165, "_timestamp": "2022-10-27T16:35:02.448899", "_git_commit_hash": "c0cefed96f8d3a0e9b39289a0f11b9ef60088f46", "_evaluate_version": "0.3.0", "_python_version": "3.8.13 (default, Oct 21 2022, 23:50:54) \n[GCC 11.2.0]", "_interpreter_path": "/home/ubuntu/miniconda3/envs/openvino_benchmark/bin/python"}

original_pytorch_model_eval_results.json

@@ -0,0 +1 @@
+{"accuracy": 0.8762376237623762, "total_time_in_seconds": 471.4765717099999, "samples_per_second": 10.711030628063105, "latency_in_seconds": 0.09336169736831681, "_timestamp": "2022-10-27T16:42:54.766533", "_git_commit_hash": "c0cefed96f8d3a0e9b39289a0f11b9ef60088f46", "_evaluate_version": "0.3.0", "_python_version": "3.8.13 (default, Oct 21 2022, 23:50:54) \n[GCC 11.2.0]", "_interpreter_path": "/home/ubuntu/miniconda3/envs/openvino_benchmark/bin/python"}

ov_config.json

@@ -0,0 +1,51 @@
+{
+  "compression": {
+    "algorithm": "quantization",
+    "ignored_scopes": [
+      "{re}.*Embeddings.*",
+      "{re}.*__add___[0-1]",
+      "{re}.*layer_norm_0",
+      "{re}.*matmul_1",
+      "{re}.*__truediv__*"
+    ],
+    "initializer": {
+      "batchnorm_adaptation": {
+        "num_bn_adaptation_samples": 0
+      },
+      "range": {
+        "num_init_samples": 300,
+        "type": "mean_min_max"
+      }
+    },
+    "overflow_fix": "disable",
+    "preset": "mixed",
+    "scope_overrides": {
+      "activations": {
+        "{re}.*matmul_0": {
+          "mode": "symmetric"
+        }
+      }
+    }
+  },
+  "input_info": [
+    {
+      "keyword": "pixel_values",
+      "sample_size": [
+        8,
+        3,
+        224,
+        224
+      ],
+      "type": "float"
+    },
+    {
+      "keyword": "labels",
+      "sample_size": [
+        8
+      ],
+      "type": "long"
+    }
+  ],
+  "optimum_version": "1.4.1",
+  "transformers_version": "4.23.1"
+}

ov_model.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c21e8b661af575133ebb460d8ad3197c79364a5d6f23f0b756e662aa7aa88e8e
+size 88801296

preprocessor_config.json

@@ -0,0 +1,17 @@
+{
+  "do_normalize": true,
+  "do_resize": true,
+  "feature_extractor_type": "ViTFeatureExtractor",
+  "image_mean": [
+    0.5,
+    0.5,
+    0.5
+  ],
+  "image_std": [
+    0.5,
+    0.5,
+    0.5
+  ],
+  "resample": 2,
+  "size": 224
+}