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Upload ViTForImageClassification

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  1. README.md +199 -0
  2. config.json +117 -0
  3. model.safetensors +3 -0
README.md ADDED
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+ ---
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+ library_name: transformers
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+ tags: []
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+ ---
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+
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+ # Model Card for Model ID
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+
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+ <!-- Provide a quick summary of what the model is/does. -->
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+ ## Model Details
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+
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+ ### Model Description
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+
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+ <!-- Provide a longer summary of what this model is. -->
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+ This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
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+
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+ - **Developed by:** [More Information Needed]
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+ - **Funded by [optional]:** [More Information Needed]
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+ - **Shared by [optional]:** [More Information Needed]
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+ - **Model type:** [More Information Needed]
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+ - **Language(s) (NLP):** [More Information Needed]
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+ - **License:** [More Information Needed]
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+ - **Finetuned from model [optional]:** [More Information Needed]
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+
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+ ### Model Sources [optional]
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+
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+ <!-- Provide the basic links for the model. -->
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+ - **Repository:** [More Information Needed]
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+ - **Paper [optional]:** [More Information Needed]
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+ - **Demo [optional]:** [More Information Needed]
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+
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+ ## Uses
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+
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+ <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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+
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+ ### Direct Use
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+
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+ <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
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+ [More Information Needed]
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+
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+ ### Downstream Use [optional]
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+
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+ <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
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+ [More Information Needed]
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+
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+ ### Out-of-Scope Use
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+
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+ <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
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+ [More Information Needed]
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+
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+ ## Bias, Risks, and Limitations
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+ <!-- This section is meant to convey both technical and sociotechnical limitations. -->
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+ [More Information Needed]
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+
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+ ### Recommendations
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+ <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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+ Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
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+ ## How to Get Started with the Model
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+ Use the code below to get started with the model.
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+ [More Information Needed]
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+
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+ ## Training Details
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+
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+ ### Training Data
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+ <!-- 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. -->
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+ [More Information Needed]
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+ ### Training Procedure
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+ <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
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+ #### Preprocessing [optional]
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+ [More Information Needed]
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+
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+ #### Training Hyperparameters
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+ - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
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+
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+ #### Speeds, Sizes, Times [optional]
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+ <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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+ [More Information Needed]
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+ ## Evaluation
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+ <!-- This section describes the evaluation protocols and provides the results. -->
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+ ### Testing Data, Factors & Metrics
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+ #### Testing Data
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+ <!-- This should link to a Dataset Card if possible. -->
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+ [More Information Needed]
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+
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+ #### Factors
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+ <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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+ [More Information Needed]
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+ #### Metrics
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+ <!-- These are the evaluation metrics being used, ideally with a description of why. -->
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+ [More Information Needed]
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+ ### Results
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+ [More Information Needed]
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+ #### Summary
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+ ## Model Examination [optional]
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+ <!-- Relevant interpretability work for the model goes here -->
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+ [More Information Needed]
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+ ## Environmental Impact
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+ <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
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+ 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).
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+
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+ - **Hardware Type:** [More Information Needed]
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+ - **Hours used:** [More Information Needed]
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+ - **Cloud Provider:** [More Information Needed]
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+ - **Compute Region:** [More Information Needed]
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+ - **Carbon Emitted:** [More Information Needed]
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+ ## Technical Specifications [optional]
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+ ### Model Architecture and Objective
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+ [More Information Needed]
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+ ### Compute Infrastructure
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+ [More Information Needed]
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+ #### Hardware
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+ [More Information Needed]
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+ #### Software
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+ [More Information Needed]
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+ ## Citation [optional]
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+ <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
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+ **BibTeX:**
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+ [More Information Needed]
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+ **APA:**
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+ [More Information Needed]
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+ ## Glossary [optional]
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+ <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
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+ [More Information Needed]
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+ ## More Information [optional]
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+ [More Information Needed]
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+ ## Model Card Authors [optional]
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+ [More Information Needed]
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+ ## Model Card Contact
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+ [More Information Needed]
config.json ADDED
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+ {
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+ "architectures": [
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+ "ViTForImageClassification"
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+ ],
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+ "attention_probs_dropout_prob": 0.0,
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+ "dtype": "float32",
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+ "encoder_stride": 16,
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+ "hidden_act": "gelu",
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+ "hidden_dropout_prob": 0.0,
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+ "hidden_size": 768,
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+ "id2label": {
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+ "0": "0",
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+ "1": "01_ka",
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+ "10": "1",
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+ "11": "10_na(02)",
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+ "12": "11_ta(01)",
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+ "13": "12_tha(01)",
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+ "14": "13_da(01)",
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+ "15": "14_dha(01)",
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+ "16": "15_na(03)",
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+ "17": "16_ta(02)",
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+ "18": "17_tha(02)",
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+ "19": "18_da(02)",
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+ "2": "02_kha",
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+ "20": "19_dha(02)",
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+ "21": "2",
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+ "22": "20_na(04)",
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+ "23": "21_pa",
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+ "24": "22_pha",
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+ "25": "23_ba",
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+ "26": "24_bha",
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+ "27": "25_ma",
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+ "28": "26_ya",
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+ "29": "27_ra",
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+ "3": "03_ga",
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+ "30": "28_la(01)",
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+ "31": "29_va",
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+ "32": "3",
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+ "33": "30_la(02)",
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+ "34": "31_sa(01)",
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+ "35": "32_sa(02)",
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+ "36": "33_sa(03)",
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+ "37": "34_ha",
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+ "38": "4",
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+ "39": "5",
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+ "4": "04_gha",
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+ "40": "6",
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+ "41": "7",
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+ "42": "8",
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+ "43": "9",
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+ "5": "05_na(01)",
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+ "6": "06_ca",
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+ "7": "07_cha",
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+ "8": "08_ja",
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+ "9": "09_jha"
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+ },
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+ "image_size": 224,
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+ "initializer_range": 0.02,
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+ "intermediate_size": 3072,
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+ "label2id": {
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+ "0": "0",
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+ "01_ka": "1",
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+ "02_kha": "2",
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+ "03_ga": "3",
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+ "04_gha": "4",
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+ "05_na(01)": "5",
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+ "06_ca": "6",
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+ "07_cha": "7",
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+ "08_ja": "8",
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+ "09_jha": "9",
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+ "1": "10",
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+ "10_na(02)": "11",
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+ "11_ta(01)": "12",
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+ "12_tha(01)": "13",
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+ "13_da(01)": "14",
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+ "14_dha(01)": "15",
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+ "15_na(03)": "16",
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+ "16_ta(02)": "17",
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+ "17_tha(02)": "18",
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+ "18_da(02)": "19",
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+ "19_dha(02)": "20",
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+ "2": "21",
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+ "20_na(04)": "22",
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+ "21_pa": "23",
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+ "22_pha": "24",
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+ "23_ba": "25",
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+ "24_bha": "26",
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+ "25_ma": "27",
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+ "26_ya": "28",
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+ "27_ra": "29",
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+ "28_la(01)": "30",
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+ "29_va": "31",
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+ "3": "32",
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+ "30_la(02)": "33",
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+ "31_sa(01)": "34",
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+ "32_sa(02)": "35",
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+ "33_sa(03)": "36",
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+ "34_ha": "37",
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+ "4": "38",
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+ "5": "39",
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+ "6": "40",
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+ "7": "41",
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+ "8": "42",
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+ "9": "43"
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+ },
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+ "layer_norm_eps": 1e-12,
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+ "model_type": "vit",
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+ "num_attention_heads": 12,
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+ "num_channels": 3,
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+ "num_hidden_layers": 12,
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+ "patch_size": 16,
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+ "pooler_act": "tanh",
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+ "pooler_output_size": 768,
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+ "problem_type": "single_label_classification",
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+ "qkv_bias": true,
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+ "transformers_version": "4.57.6"
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+ }
model.safetensors ADDED
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