Upload Dinov2ForImageClassification
Browse files- README.md +199 -0
- config.json +203 -0
- model.safetensors +3 -0
README.md
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| 1 |
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---
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library_name: transformers
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tags: []
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---
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# Model Card for Model ID
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<!-- Provide a quick summary of what the model is/does. -->
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## Model Details
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### Model Description
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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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- **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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### Model Sources [optional]
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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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## Uses
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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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### Direct Use
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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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### Downstream Use [optional]
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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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### Out-of-Scope Use
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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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## 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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### 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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## Training Details
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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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#### 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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#### 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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#### 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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- **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]
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config.json
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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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| 45 |
+
"38": "goth",
|
| 46 |
+
"39": "granola",
|
| 47 |
+
"4": "60s",
|
| 48 |
+
"40": "grunge",
|
| 49 |
+
"41": "indie",
|
| 50 |
+
"42": "it girl",
|
| 51 |
+
"43": "kawaii",
|
| 52 |
+
"44": "lagenlook",
|
| 53 |
+
"45": "mermaidcore",
|
| 54 |
+
"46": "minimalist",
|
| 55 |
+
"47": "mob wife",
|
| 56 |
+
"48": "modest",
|
| 57 |
+
"49": "nerdy",
|
| 58 |
+
"5": "70s",
|
| 59 |
+
"50": "normcore",
|
| 60 |
+
"51": "old money",
|
| 61 |
+
"52": "preppy",
|
| 62 |
+
"53": "skater",
|
| 63 |
+
"54": "sporty",
|
| 64 |
+
"55": "stealth wealth",
|
| 65 |
+
"56": "streetwear",
|
| 66 |
+
"57": "tomato girl",
|
| 67 |
+
"58": "tomboy",
|
| 68 |
+
"59": "vanilla girl",
|
| 69 |
+
"6": "80s",
|
| 70 |
+
"60": "vintage",
|
| 71 |
+
"7": "90s",
|
| 72 |
+
"8": "Y2K",
|
| 73 |
+
"9": "art hoe"
|
| 74 |
+
},
|
| 75 |
+
"image_size": 518,
|
| 76 |
+
"initializer_range": 0.02,
|
| 77 |
+
"label2id": {
|
| 78 |
+
"20s": "0",
|
| 79 |
+
"30s": "1",
|
| 80 |
+
"40s": "2",
|
| 81 |
+
"50s": "3",
|
| 82 |
+
"60s": "4",
|
| 83 |
+
"70s": "5",
|
| 84 |
+
"80s": "6",
|
| 85 |
+
"90s": "7",
|
| 86 |
+
"Y2K": "8",
|
| 87 |
+
"art hoe": "9",
|
| 88 |
+
"artsy": "10",
|
| 89 |
+
"athleisure": "11",
|
| 90 |
+
"balletcore": "12",
|
| 91 |
+
"barbiecore": "13",
|
| 92 |
+
"beach": "14",
|
| 93 |
+
"bimbocore": "15",
|
| 94 |
+
"blokette": "16",
|
| 95 |
+
"bohemian": "17",
|
| 96 |
+
"casual": "18",
|
| 97 |
+
"chic": "19",
|
| 98 |
+
"classicore": "20",
|
| 99 |
+
"coastal cowgirl": "21",
|
| 100 |
+
"coastal grandmother": "22",
|
| 101 |
+
"comfy cozy": "23",
|
| 102 |
+
"cool girl": "24",
|
| 103 |
+
"coquette": "25",
|
| 104 |
+
"corporate": "26",
|
| 105 |
+
"country": "27",
|
| 106 |
+
"dark academia": "28",
|
| 107 |
+
"eclectic": "29",
|
| 108 |
+
"edgy": "30",
|
| 109 |
+
"ethereal": "31",
|
| 110 |
+
"europecore": "32",
|
| 111 |
+
"folk": "33",
|
| 112 |
+
"frazzled english woman": "34",
|
| 113 |
+
"fruit girl": "35",
|
| 114 |
+
"garconne": "36",
|
| 115 |
+
"girly girl": "37",
|
| 116 |
+
"goth": "38",
|
| 117 |
+
"granola": "39",
|
| 118 |
+
"grunge": "40",
|
| 119 |
+
"indie": "41",
|
| 120 |
+
"it girl": "42",
|
| 121 |
+
"kawaii": "43",
|
| 122 |
+
"lagenlook": "44",
|
| 123 |
+
"mermaidcore": "45",
|
| 124 |
+
"minimalist": "46",
|
| 125 |
+
"mob wife": "47",
|
| 126 |
+
"modest": "48",
|
| 127 |
+
"nerdy": "49",
|
| 128 |
+
"normcore": "50",
|
| 129 |
+
"old money": "51",
|
| 130 |
+
"preppy": "52",
|
| 131 |
+
"skater": "53",
|
| 132 |
+
"sporty": "54",
|
| 133 |
+
"stealth wealth": "55",
|
| 134 |
+
"streetwear": "56",
|
| 135 |
+
"tomato girl": "57",
|
| 136 |
+
"tomboy": "58",
|
| 137 |
+
"vanilla girl": "59",
|
| 138 |
+
"vintage": "60"
|
| 139 |
+
},
|
| 140 |
+
"layer_norm_eps": 1e-06,
|
| 141 |
+
"layerscale_value": 1.0,
|
| 142 |
+
"mlp_ratio": 4,
|
| 143 |
+
"model_type": "dinov2",
|
| 144 |
+
"num_attention_heads": 24,
|
| 145 |
+
"num_channels": 3,
|
| 146 |
+
"num_hidden_layers": 40,
|
| 147 |
+
"out_features": [
|
| 148 |
+
"stage40"
|
| 149 |
+
],
|
| 150 |
+
"out_indices": [
|
| 151 |
+
40
|
| 152 |
+
],
|
| 153 |
+
"patch_size": 14,
|
| 154 |
+
"problem_type": "single_label_classification",
|
| 155 |
+
"qkv_bias": true,
|
| 156 |
+
"reshape_hidden_states": true,
|
| 157 |
+
"stage_names": [
|
| 158 |
+
"stem",
|
| 159 |
+
"stage1",
|
| 160 |
+
"stage2",
|
| 161 |
+
"stage3",
|
| 162 |
+
"stage4",
|
| 163 |
+
"stage5",
|
| 164 |
+
"stage6",
|
| 165 |
+
"stage7",
|
| 166 |
+
"stage8",
|
| 167 |
+
"stage9",
|
| 168 |
+
"stage10",
|
| 169 |
+
"stage11",
|
| 170 |
+
"stage12",
|
| 171 |
+
"stage13",
|
| 172 |
+
"stage14",
|
| 173 |
+
"stage15",
|
| 174 |
+
"stage16",
|
| 175 |
+
"stage17",
|
| 176 |
+
"stage18",
|
| 177 |
+
"stage19",
|
| 178 |
+
"stage20",
|
| 179 |
+
"stage21",
|
| 180 |
+
"stage22",
|
| 181 |
+
"stage23",
|
| 182 |
+
"stage24",
|
| 183 |
+
"stage25",
|
| 184 |
+
"stage26",
|
| 185 |
+
"stage27",
|
| 186 |
+
"stage28",
|
| 187 |
+
"stage29",
|
| 188 |
+
"stage30",
|
| 189 |
+
"stage31",
|
| 190 |
+
"stage32",
|
| 191 |
+
"stage33",
|
| 192 |
+
"stage34",
|
| 193 |
+
"stage35",
|
| 194 |
+
"stage36",
|
| 195 |
+
"stage37",
|
| 196 |
+
"stage38",
|
| 197 |
+
"stage39",
|
| 198 |
+
"stage40"
|
| 199 |
+
],
|
| 200 |
+
"torch_dtype": "float32",
|
| 201 |
+
"transformers_version": "4.38.2",
|
| 202 |
+
"use_swiglu_ffn": true
|
| 203 |
+
}
|
model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:fcdaf8353212e4c2da2d976eab1cd4f8e25d58f8a3eb1295570b91299e9a1ef5
|
| 3 |
+
size 4546760500
|