Upload EfficientNetForImageClassification

README.md

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+---
+library_name: transformers
+tags: []
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]

config.json

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+{
+  "architectures": [
+    "EfficientNetForImageClassification"
+  ],
+  "batch_norm_eps": 0.001,
+  "batch_norm_momentum": 0.99,
+  "depth_coefficient": 1.0,
+  "depth_divisor": 8,
+  "depthwise_padding": [],
+  "drop_connect_rate": 0.2,
+  "dropout_rate": 0.2,
+  "expand_ratios": [
+    1,
+    6,
+    6,
+    6,
+    6,
+    6,
+    6
+  ],
+  "hidden_act": "swish",
+  "hidden_dim": 1280,
+  "id2label": {
+    "0": "aabnam",
+    "1": "amnat",
+    "2": "anong",
+    "3": "anu",
+    "4": "aphet",
+    "5": "athik",
+    "6": "banman",
+    "7": "binbon",
+    "8": "bochai",
+    "9": "bokin",
+    "10": "bolao",
+    "11": "bopen",
+    "12": "boron",
+    "13": "buppe",
+    "14": "chaehom",
+    "15": "chaeyang",
+    "16": "chaidi",
+    "17": "chanan",
+    "18": "changhan",
+    "19": "chaofa",
+    "20": "chaomom",
+    "21": "chaomueang",
+    "22": "chata",
+    "23": "chatu",
+    "24": "chaya",
+    "25": "chiangdao",
+    "26": "chiangmai",
+    "27": "chingchang",
+    "28": "chokdi",
+    "29": "dangsaap",
+    "30": "deklek",
+    "31": "deumnai",
+    "32": "doilo",
+    "33": "doiluang",
+    "34": "doitao",
+    "35": "dokbua",
+    "36": "eka",
+    "37": "fanhan",
+    "38": "hangdong",
+    "39": "hangsat",
+    "40": "hungtam",
+    "41": "huwai",
+    "42": "inta",
+    "43": "iti",
+    "44": "itom",
+    "45": "jara",
+    "46": "kadi",
+    "47": "kamyao",
+    "48": "kanmo",
+    "49": "kapmo",
+    "50": "kephet",
+    "51": "kepphak",
+    "52": "khaikai",
+    "53": "khaipa",
+    "54": "khamaen",
+    "55": "khaoma",
+    "56": "khata",
+    "57": "kheumnguem",
+    "58": "khomchai",
+    "59": "khongbo",
+    "60": "khongtua",
+    "61": "khunyuam",
+    "62": "khwaluat",
+    "63": "khwamsuk",
+    "64": "kinkhao",
+    "65": "kinkhong",
+    "66": "kinmuea",
+    "67": "kinru",
+    "68": "kluaibo",
+    "69": "laemai",
+    "70": "laichiao",
+    "71": "lailong",
+    "72": "lampang",
+    "73": "lattho",
+    "74": "loka",
+    "75": "luathak",
+    "76": "luatok",
+    "77": "maechaem",
+    "78": "maechai",
+    "79": "maechan",
+    "80": "maecharim",
+    "81": "maelao",
+    "82": "maelim",
+    "83": "maemo",
+    "84": "maephrik",
+    "85": "maetaeng",
+    "86": "maeth",
+    "87": "maetha",
+    "88": "maewang",
+    "89": "maha",
+    "90": "mahachai",
+    "91": "mam",
+    "92": "manpen",
+    "93": "manu",
+    "94": "mueangphan",
+    "95": "mueangyong",
+    "96": "nakrian",
+    "97": "nambo",
+    "98": "nanglong",
+    "99": "nangsue",
+    "100": "naokhong",
+    "101": "nara",
+    "102": "newin",
+    "103": "nganban",
+    "104": "nguenchae",
+    "105": "nguenchat",
+    "106": "omkoi",
+    "107": "oprom",
+    "108": "oram",
+    "109": "osot",
+    "110": "padaet",
+    "111": "phaideuan",
+    "112": "phaka",
+    "113": "phakhawa",
+    "114": "phayao",
+    "115": "phoenwai",
+    "116": "phuphiang",
+    "117": "phusang",
+    "118": "phuttha",
+    "119": "phuttho",
+    "120": "pikat",
+    "121": "pikot",
+    "122": "piso",
+    "123": "puri",
+    "124": "rakha",
+    "125": "ratna",
+    "126": "roisai",
+    "127": "ruluem",
+    "128": "saichai",
+    "129": "saket",
+    "130": "sana",
+    "131": "sanam",
+    "132": "sanya",
+    "133": "sapha",
+    "134": "sawa",
+    "135": "sayong",
+    "136": "siri",
+    "137": "sitth",
+    "138": "soekho",
+    "139": "soekman",
+    "140": "somkhuan",
+    "141": "songkho",
+    "142": "sukhato",
+    "143": "sukka",
+    "144": "taefai",
+    "145": "taehai",
+    "146": "tanam",
+    "147": "taro",
+    "148": "thairat",
+    "149": "thamam",
+    "150": "thawai",
+    "151": "thewa",
+    "152": "thuti",
+    "153": "uru",
+    "154": "wailang",
+    "155": "wasa",
+    "156": "wati",
+    "157": "wihan",
+    "158": "witcha",
+    "159": "witwo",
+    "160": "yapheng",
+    "161": "yukloek"
+  },
+  "image_size": 224,
+  "in_channels": [
+    32,
+    16,
+    24,
+    40,
+    80,
+    112,
+    192
+  ],
+  "initializer_range": 0.02,
+  "kernel_sizes": [
+    3,
+    3,
+    5,
+    3,
+    5,
+    5,
+    3
+  ],
+  "label2id": {
+    "aabnam": 0,
+    "amnat": 1,
+    "anong": 2,
+    "anu": 3,
+    "aphet": 4,
+    "athik": 5,
+    "banman": 6,
+    "binbon": 7,
+    "bochai": 8,
+    "bokin": 9,
+    "bolao": 10,
+    "bopen": 11,
+    "boron": 12,
+    "buppe": 13,
+    "chaehom": 14,
+    "chaeyang": 15,
+    "chaidi": 16,
+    "chanan": 17,
+    "changhan": 18,
+    "chaofa": 19,
+    "chaomom": 20,
+    "chaomueang": 21,
+    "chata": 22,
+    "chatu": 23,
+    "chaya": 24,
+    "chiangdao": 25,
+    "chiangmai": 26,
+    "chingchang": 27,
+    "chokdi": 28,
+    "dangsaap": 29,
+    "deklek": 30,
+    "deumnai": 31,
+    "doilo": 32,
+    "doiluang": 33,
+    "doitao": 34,
+    "dokbua": 35,
+    "eka": 36,
+    "fanhan": 37,
+    "hangdong": 38,
+    "hangsat": 39,
+    "hungtam": 40,
+    "huwai": 41,
+    "inta": 42,
+    "iti": 43,
+    "itom": 44,
+    "jara": 45,
+    "kadi": 46,
+    "kamyao": 47,
+    "kanmo": 48,
+    "kapmo": 49,
+    "kephet": 50,
+    "kepphak": 51,
+    "khaikai": 52,
+    "khaipa": 53,
+    "khamaen": 54,
+    "khaoma": 55,
+    "khata": 56,
+    "kheumnguem": 57,
+    "khomchai": 58,
+    "khongbo": 59,
+    "khongtua": 60,
+    "khunyuam": 61,
+    "khwaluat": 62,
+    "khwamsuk": 63,
+    "kinkhao": 64,
+    "kinkhong": 65,
+    "kinmuea": 66,
+    "kinru": 67,
+    "kluaibo": 68,
+    "laemai": 69,
+    "laichiao": 70,
+    "lailong": 71,
+    "lampang": 72,
+    "lattho": 73,
+    "loka": 74,
+    "luathak": 75,
+    "luatok": 76,
+    "maechaem": 77,
+    "maechai": 78,
+    "maechan": 79,
+    "maecharim": 80,
+    "maelao": 81,
+    "maelim": 82,
+    "maemo": 83,
+    "maephrik": 84,
+    "maetaeng": 85,
+    "maeth": 86,
+    "maetha": 87,
+    "maewang": 88,
+    "maha": 89,
+    "mahachai": 90,
+    "mam": 91,
+    "manpen": 92,
+    "manu": 93,
+    "mueangphan": 94,
+    "mueangyong": 95,
+    "nakrian": 96,
+    "nambo": 97,
+    "nanglong": 98,
+    "nangsue": 99,
+    "naokhong": 100,
+    "nara": 101,
+    "newin": 102,
+    "nganban": 103,
+    "nguenchae": 104,
+    "nguenchat": 105,
+    "omkoi": 106,
+    "oprom": 107,
+    "oram": 108,
+    "osot": 109,
+    "padaet": 110,
+    "phaideuan": 111,
+    "phaka": 112,
+    "phakhawa": 113,
+    "phayao": 114,
+    "phoenwai": 115,
+    "phuphiang": 116,
+    "phusang": 117,
+    "phuttha": 118,
+    "phuttho": 119,
+    "pikat": 120,
+    "pikot": 121,
+    "piso": 122,
+    "puri": 123,
+    "rakha": 124,
+    "ratna": 125,
+    "roisai": 126,
+    "ruluem": 127,
+    "saichai": 128,
+    "saket": 129,
+    "sana": 130,
+    "sanam": 131,
+    "sanya": 132,
+    "sapha": 133,
+    "sawa": 134,
+    "sayong": 135,
+    "siri": 136,
+    "sitth": 137,
+    "soekho": 138,
+    "soekman": 139,
+    "somkhuan": 140,
+    "songkho": 141,
+    "sukhato": 142,
+    "sukka": 143,
+    "taefai": 144,
+    "taehai": 145,
+    "tanam": 146,
+    "taro": 147,
+    "thairat": 148,
+    "thamam": 149,
+    "thawai": 150,
+    "thewa": 151,
+    "thuti": 152,
+    "uru": 153,
+    "wailang": 154,
+    "wasa": 155,
+    "wati": 156,
+    "wihan": 157,
+    "witcha": 158,
+    "witwo": 159,
+    "yapheng": 160,
+    "yukloek": 161
+  },
+  "model_type": "efficientnet",
+  "num_block_repeats": [
+    1,
+    2,
+    2,
+    3,
+    3,
+    4,
+    1
+  ],
+  "num_channels": 3,
+  "num_hidden_layers": 64,
+  "out_channels": [
+    16,
+    24,
+    40,
+    80,
+    112,
+    192,
+    320
+  ],
+  "out_features": null,
+  "pooling_type": "mean",
+  "problem_type": "single_label_classification",
+  "squeeze_expansion_ratio": 0.25,
+  "stage_names": [
+    "stem",
+    "stage1",
+    "stage2",
+    "stage3",
+    "stage4",
+    "stage5",
+    "stage6",
+    "stage7"
+  ],
+  "strides": [
+    1,
+    2,
+    2,
+    2,
+    1,
+    2,
+    1
+  ],
+  "torch_dtype": "float32",
+  "transformers_version": "4.50.0",
+  "width_coefficient": 1.0
+}

model.safetensors

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