Upload ViTForImageClassification

README.md

@@ -0,0 +1,199 @@
+---
+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

@@ -0,0 +1,182 @@
+{
+  "_name_or_path": "/content/drive/MyDrive/Pha\u0302n loa\u0323i du\u031bo\u031b\u0323c lie\u0323\u0302u/model1",
+  "architectures": [
+    "ViTForImageClassification"
+  ],
+  "attention_probs_dropout_prob": 0.0,
+  "encoder_stride": 16,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.0,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "10_Tuc_doan",
+    "1": "11_Thien_mon",
+    "2": "12_Sai_ho",
+    "3": "13_Vien_chi",
+    "4": "14_Su_quan_tu",
+    "5": "15_Bach_mao_can",
+    "6": "16_Cau_ky_tu",
+    "7": "17_Do_trong",
+    "8": "18_Dang_sam",
+    "9": "19_Cau_tich",
+    "10": "1_Boi_mau",
+    "11": "20_Tho_ty_tu",
+    "12": "21_Hoang_ky",
+    "13": "22_Coi_xay",
+    "14": "23_Huyen_sam",
+    "15": "24_Tang_chi",
+    "16": "25_Diep_ha_chau",
+    "17": "26_Kim_anh",
+    "18": "27_Cat_can",
+    "19": "28_Co_ngot",
+    "20": "29_Cuc_hoa",
+    "21": "2_Hoe_hoa",
+    "22": "30_To_moc",
+    "23": "31_Kim_tien_thao",
+    "24": "32_Dan_sam",
+    "25": "33_Chi_tu",
+    "26": "34_Ca_gai_leo",
+    "27": "35_Sinh_dia",
+    "28": "36_Nguu_tat",
+    "29": "37_Bach_truat",
+    "30": "38_Nhan_tran",
+    "31": "39_Duong_quy",
+    "32": "3_Linh_chi",
+    "33": "40_Nho_noi",
+    "34": "41_Dao_nhan",
+    "35": "42_Cat_canh",
+    "36": "43_Ha_kho_thao",
+    "37": "44_Xa_tien_tu",
+    "38": "45_Che_day",
+    "39": "46_Xa_can",
+    "40": "47_Tang_diep",
+    "41": "48_Ngu_boi_tu",
+    "42": "49_Ngu_gia_bi",
+    "43": "4_Thong_thao",
+    "44": "50_Rau_ngo",
+    "45": "51_Nguu_bang_tu",
+    "46": "52_Cam_thao_dat",
+    "47": "53_Dai_hoang",
+    "48": "54_Hoai_son",
+    "49": "55_Dam_duong_hoac",
+    "50": "56_Moc_qua",
+    "51": "57_Bo_cong_anh",
+    "52": "58_Tho_phuc_linh",
+    "53": "59_Mach_mon",
+    "54": "5_Trach_ta",
+    "55": "60_Ke_dau_ngua",
+    "56": "61_Tang_bach_bi",
+    "57": "62_Cam_thao_bac",
+    "58": "63_O_tac_cot",
+    "59": "64_Thao_quyet_minh",
+    "60": "65_Dai_tao",
+    "61": "66_Kim_ngan_hoa",
+    "62": "67_Tao_nhan",
+    "63": "68_Ban_ha",
+    "64": "69_Ca_gai_leo",
+    "65": "6_Y_di",
+    "66": "70_Kho_qua",
+    "67": "71_Xuyen_tam_lien",
+    "68": "72_Nhan_sam",
+    "69": "73_Bach_gioi_tu",
+    "70": "74_Tam_that",
+    "71": "75_Bach_chi",
+    "72": "76_Sa_sam",
+    "73": "77_Bach_thuoc",
+    "74": "7_Can_khuong",
+    "75": "8_Ty_Giai",
+    "76": "9_Cot_toai_bo"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "10_Tuc_doan": "0",
+    "11_Thien_mon": "1",
+    "12_Sai_ho": "2",
+    "13_Vien_chi": "3",
+    "14_Su_quan_tu": "4",
+    "15_Bach_mao_can": "5",
+    "16_Cau_ky_tu": "6",
+    "17_Do_trong": "7",
+    "18_Dang_sam": "8",
+    "19_Cau_tich": "9",
+    "1_Boi_mau": "10",
+    "20_Tho_ty_tu": "11",
+    "21_Hoang_ky": "12",
+    "22_Coi_xay": "13",
+    "23_Huyen_sam": "14",
+    "24_Tang_chi": "15",
+    "25_Diep_ha_chau": "16",
+    "26_Kim_anh": "17",
+    "27_Cat_can": "18",
+    "28_Co_ngot": "19",
+    "29_Cuc_hoa": "20",
+    "2_Hoe_hoa": "21",
+    "30_To_moc": "22",
+    "31_Kim_tien_thao": "23",
+    "32_Dan_sam": "24",
+    "33_Chi_tu": "25",
+    "34_Ca_gai_leo": "26",
+    "35_Sinh_dia": "27",
+    "36_Nguu_tat": "28",
+    "37_Bach_truat": "29",
+    "38_Nhan_tran": "30",
+    "39_Duong_quy": "31",
+    "3_Linh_chi": "32",
+    "40_Nho_noi": "33",
+    "41_Dao_nhan": "34",
+    "42_Cat_canh": "35",
+    "43_Ha_kho_thao": "36",
+    "44_Xa_tien_tu": "37",
+    "45_Che_day": "38",
+    "46_Xa_can": "39",
+    "47_Tang_diep": "40",
+    "48_Ngu_boi_tu": "41",
+    "49_Ngu_gia_bi": "42",
+    "4_Thong_thao": "43",
+    "50_Rau_ngo": "44",
+    "51_Nguu_bang_tu": "45",
+    "52_Cam_thao_dat": "46",
+    "53_Dai_hoang": "47",
+    "54_Hoai_son": "48",
+    "55_Dam_duong_hoac": "49",
+    "56_Moc_qua": "50",
+    "57_Bo_cong_anh": "51",
+    "58_Tho_phuc_linh": "52",
+    "59_Mach_mon": "53",
+    "5_Trach_ta": "54",
+    "60_Ke_dau_ngua": "55",
+    "61_Tang_bach_bi": "56",
+    "62_Cam_thao_bac": "57",
+    "63_O_tac_cot": "58",
+    "64_Thao_quyet_minh": "59",
+    "65_Dai_tao": "60",
+    "66_Kim_ngan_hoa": "61",
+    "67_Tao_nhan": "62",
+    "68_Ban_ha": "63",
+    "69_Ca_gai_leo": "64",
+    "6_Y_di": "65",
+    "70_Kho_qua": "66",
+    "71_Xuyen_tam_lien": "67",
+    "72_Nhan_sam": "68",
+    "73_Bach_gioi_tu": "69",
+    "74_Tam_that": "70",
+    "75_Bach_chi": "71",
+    "76_Sa_sam": "72",
+    "77_Bach_thuoc": "73",
+    "7_Can_khuong": "74",
+    "8_Ty_Giai": "75",
+    "9_Cot_toai_bo": "76"
+  },
+  "layer_norm_eps": 1e-12,
+  "model_type": "vit",
+  "num_attention_heads": 12,
+  "num_channels": 3,
+  "num_hidden_layers": 12,
+  "patch_size": 16,
+  "problem_type": "single_label_classification",
+  "qkv_bias": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.42.0.dev0"
+}

model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a28bb2b48567a965e5988ed8798d2ec83c0e58d2594a61d057630bad2ae9360b
+size 343454684