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Upload Dinov2ForImageClassification

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  2. config.json +203 -0
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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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+
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+
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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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+
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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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+
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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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+
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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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+
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+ [More Information Needed]
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+
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+ ## Bias, Risks, and Limitations
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+
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+ <!-- This section is meant to convey both technical and sociotechnical limitations. -->
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+
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+ [More Information Needed]
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+
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+ ### Recommendations
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+
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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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+
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+ ## How to Get Started with the Model
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+
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+ Use the code below to get started with the model.
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+
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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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+
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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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+
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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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+
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+ [More Information Needed]
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+
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+
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+ #### Training Hyperparameters
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+
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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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+
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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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+
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+ ## Evaluation
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+
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+ <!-- This section describes the evaluation protocols and provides the results. -->
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+
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+ ### Testing Data, Factors & Metrics
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+
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+ #### Testing Data
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+
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+ <!-- This should link to a Dataset Card if possible. -->
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+
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+ [More Information Needed]
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+
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+ #### Factors
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+
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+ <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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+
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+ [More Information Needed]
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+
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+ #### Metrics
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+
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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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+
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+ #### Summary
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+
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+
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+ ## Model Examination [optional]
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+
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+ <!-- Relevant interpretability work for the model goes here -->
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+ [More Information Needed]
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+
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+ ## Environmental Impact
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+
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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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+
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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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+
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+ ## Technical Specifications [optional]
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+
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+ ### Model Architecture and Objective
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+
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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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+ "_name_or_path": "facebook/dinov2-giant",
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+ "apply_layernorm": true,
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+ "architectures": [
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+ "Dinov2ForImageClassification"
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+ ],
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+ "attention_probs_dropout_prob": 0.0,
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+ "drop_path_rate": 0.0,
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+ "hidden_act": "gelu",
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+ "hidden_dropout_prob": 0.0,
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+ "hidden_size": 1536,
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+ "id2label": {
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+ "0": "20s",
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+ "1": "30s",
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+ "10": "artsy",
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+ "11": "athleisure",
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+ "12": "balletcore",
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+ "13": "barbiecore",
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+ "14": "beach",
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+ "15": "bimbocore",
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+ "16": "blokette",
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+ "17": "bohemian",
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+ "18": "casual",
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+ "19": "chic",
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+ "2": "40s",
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+ "20": "classicore",
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+ "21": "coastal cowgirl",
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+ "22": "coastal grandmother",
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+ "23": "comfy cozy",
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+ "24": "cool girl",
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+ "25": "coquette",
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+ "26": "corporate",
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+ "27": "country",
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+ "28": "dark academia",
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+ "29": "eclectic",
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+ "3": "50s",
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+ "30": "edgy",
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+ "31": "ethereal",
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+ "32": "europecore",
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+ "33": "folk",
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+ "34": "frazzled english woman",
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+ "35": "fruit girl",
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+ "36": "garconne",
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+ "37": "girly girl",
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+ "38": "goth",
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+ "39": "granola",
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+ "4": "60s",
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+ "40": "grunge",
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+ "41": "indie",
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+ "42": "it girl",
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+ "43": "kawaii",
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+ "44": "lagenlook",
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+ "45": "mermaidcore",
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+ "46": "minimalist",
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+ "47": "mob wife",
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+ "48": "modest",
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+ "49": "nerdy",
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+ "5": "70s",
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+ "50": "normcore",
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+ "51": "old money",
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+ "52": "preppy",
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+ "53": "skater",
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+ "54": "sporty",
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+ "55": "stealth wealth",
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+ "56": "streetwear",
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+ "57": "tomato girl",
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+ "58": "tomboy",
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+ "59": "vanilla girl",
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+ "6": "80s",
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+ "60": "vintage",
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+ "7": "90s",
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+ "8": "Y2K",
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+ "9": "art hoe"
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+ },
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+ "image_size": 518,
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+ "initializer_range": 0.02,
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+ "label2id": {
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+ "20s": "0",
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+ "30s": "1",
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+ "40s": "2",
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+ "50s": "3",
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+ "60s": "4",
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+ "70s": "5",
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+ "80s": "6",
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+ "90s": "7",
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+ "Y2K": "8",
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+ "art hoe": "9",
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+ "artsy": "10",
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+ "athleisure": "11",
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+ "balletcore": "12",
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+ "barbiecore": "13",
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+ "beach": "14",
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+ "bimbocore": "15",
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+ "casual": "18",
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+ "coastal cowgirl": "21",
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+ "granola": "39",
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+ "it girl": "42",
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+ "streetwear": "56",
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+ "tomato girl": "57",
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+ "vintage": "60"
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+ },
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+ "layer_norm_eps": 1e-06,
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+ "layerscale_value": 1.0,
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+ "mlp_ratio": 4,
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+ "model_type": "dinov2",
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+ "num_attention_heads": 24,
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+ "num_channels": 3,
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+ "num_hidden_layers": 40,
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+ "out_features": [
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+ "patch_size": 14,
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+ "problem_type": "single_label_classification",
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+ "qkv_bias": true,
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+ "reshape_hidden_states": true,
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+ "stage_names": [
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+ "stem",
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+ ],
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.38.2",
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+ "use_swiglu_ffn": true
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+ }
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