LightDestory
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Commit
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Parent(s):
5ec0f6b
Upload UperNetForSemanticSegmentation
Browse files- README.md +199 -0
- config.json +275 -0
- model-00001-of-00003.safetensors +3 -0
- model-00002-of-00003.safetensors +3 -0
- model-00003-of-00003.safetensors +3 -0
- model.safetensors.index.json +437 -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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# 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": "openmmlab/upernet-convnext-small",
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"architectures": [
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"UperNetForSemanticSegmentation"
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],
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"auxiliary_channels": 256,
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"auxiliary_concat_input": false,
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"auxiliary_in_channels": 384,
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"auxiliary_loss_weight": 0.4,
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"auxiliary_num_convs": 1,
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"backbone": null,
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"backbone_config": {
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"depths": [
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3,
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3,
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27,
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3
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],
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"drop_path_rate": 0.0,
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"hidden_act": "gelu",
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"hidden_sizes": [
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96,
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192,
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384,
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768
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],
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"image_size": 224,
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"initializer_range": 0.02,
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"layer_norm_eps": 1e-12,
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"layer_scale_init_value": 1e-06,
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"model_type": "convnext",
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"num_stages": 4,
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"out_features": [
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"stage1",
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"stage2",
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"stage3",
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"stage4"
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],
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"out_indices": [
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1,
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2,
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3,
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4
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],
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"patch_size": 4
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},
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"backbone_kwargs": null,
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"hidden_size": 512,
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"id2label": {
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"0": "background",
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"1": "candy",
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"2": "egg tart",
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"3": "french fries",
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"4": "chocolate",
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"5": "biscuit",
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"6": "popcorn",
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"7": "pudding",
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"8": "ice cream",
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"9": "cheese butter",
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"10": "cake",
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"11": "wine",
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"12": "milkshake",
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"13": "coffee",
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"14": "juice",
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"15": "milk",
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"16": "tea",
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"17": "almond",
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"18": "red beans",
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"19": "cashew",
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"20": "dried cranberries",
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"21": "soy",
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"22": "walnut",
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"23": "peanut",
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"24": "egg",
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"25": "apple",
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"26": "date",
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"27": "apricot",
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"28": "avocado",
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"29": "banana",
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"30": "strawberry",
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"31": "cherry",
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"32": "blueberry",
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"33": "raspberry",
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"34": "mango",
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"35": "olives",
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"36": "peach",
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"37": "lemon",
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"38": "pear",
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"39": "fig",
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"40": "pineapple",
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"41": "grape",
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"42": "kiwi",
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"43": "melon",
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"44": "orange",
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"45": "watermelon",
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"46": "steak",
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"47": "pork",
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"48": "chicken duck",
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+
"49": "sausage",
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