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  2. config.json +465 -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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+
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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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+
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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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+
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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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+
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+ [More Information Needed]
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+
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+ ### Training Procedure
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+
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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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+
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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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+
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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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+
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+ [More Information Needed]
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+
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+ ### Results
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+
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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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+
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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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+
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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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+
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+ ### Compute Infrastructure
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+
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+ [More Information Needed]
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+
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+ #### Hardware
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+
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+ [More Information Needed]
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+
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+ #### Software
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+
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+ [More Information Needed]
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+
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+ ## Citation [optional]
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+
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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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+
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+ **BibTeX:**
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+
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+ [More Information Needed]
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+
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+ **APA:**
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+
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+ [More Information Needed]
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+
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+ ## Glossary [optional]
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+
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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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+
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+ [More Information Needed]
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+
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+ ## More Information [optional]
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+
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+ [More Information Needed]
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+
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+ ## Model Card Authors [optional]
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+
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+ [More Information Needed]
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+
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+ ## Model Card Contact
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+
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+ [More Information Needed]
config.json ADDED
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+ {
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+ "_name_or_path": "bert-base-cased",
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+ "architectures": [
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+ "BertForMaskedLM"
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+ ],
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+ "attention_probs_dropout_prob": 0.1,
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+ "classifier_dropout": null,
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+ "gradient_checkpointing": false,
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+ "hidden_act": "gelu",
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+ "hidden_dropout_prob": 0.1,
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+ "hidden_size": 768,
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+ "id2label": {
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+ "0": "Effective",
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+ "1": "economical",
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+ "2": "Explained the process clearly",
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+ "3": "Efficient staff",
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+ "4": "Outstanding efforts",
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+ "5": "Cordial service",
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+ "6": "effective",
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+ "7": "Dependable",
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+ "8": "Efficient",
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+ "9": "courteous staff",
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+ "10": "Great job, well done",
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+ "11": "Skilled",
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+ "12": "knowledgeable",
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+ "13": "professional",
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+ "14": "Productive work",
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+ "15": "Very responsive",
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+ "16": "Dependable solutions",
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+ "17": "Expert",
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+ "18": "dependable",
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+ "19": "Polite",
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+ "20": "skilled",
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+ "21": "friendly",
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+ "22": "Professional",
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+ "23": "friendly service",
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+ "24": "Quick",
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+ "25": "Always does a great job",
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+ "26": "reliable service",
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+ "27": "Outstanding customer service",
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+ "28": "Knowledgeable",
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+ "29": "Listened to my concerns",
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+ "30": "Very professional",
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+ "31": "Friendly",
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+ "32": "helpful",
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+ "33": "Reliable",
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+ "34": "Excellent craftsmanship",
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+ "35": "Seamless process",
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+ "36": "courteous",
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+ "37": "Attentive support",
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+ "38": "Very helpful",
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+ "39": "Swift solutions",
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+ "40": "Swift technicians",
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+ "41": "Courteous",
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+ "42": "Always does a thorough job",
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+ "43": "Fast turnaround time",
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+ "44": "Economical choices",
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+ "45": "Professional assistance",
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+ "46": "Supportive interactions",
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+ "47": "Very friendly staff",
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+ "48": "knowledgeable staff",
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+ "49": "Honest",
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+ "50": "transparent",
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+ "51": "clear",
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+ "52": "Great quality of work",
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+ "53": "Customer-oriented service",
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+ "54": "Responsive",
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+ "55": "Very satisfied with the service",
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+ "56": "efficient service",
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+ "57": "Prompt",
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+ "58": "Considerate service knowledgeable technicians",
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+ "59": "Fair pricing",
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+ "60": "expert",
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+ "61": "Very fair pricing",
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+ "62": "Skilled professionals",
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+ "63": "efficient staff",
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+ "64": "Excellent customer service skills",
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+ "65": "Knowledgeable interactions",
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+ "66": "Efficient performance",
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+ "67": "Helpful",
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+ "68": "Felt valued as a customer",
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+ "69": "helpful service",
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+ "70": "Very courteous",
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+ "71": "swift",
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+ "72": "efficient",
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+ "73": "Professional interactions",
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+ "74": "Very knowledgeable",
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+ "76": "Solved the problem quickly",
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+ "77": "Very polite",
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+ "78": "Very knowledgeable staff",
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+ "79": "Competent professionals",
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+ "80": "Efficient service with a smile",
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+ "81": "Hassle-free experience",
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+ "82": "Would use again",
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+ "83": "Always on time",
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+ "84": "reliable",
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+ "85": "Affordable",
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+ "86": "organized",
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+ "87": "Very thorough",
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+ "88": "Swift",
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+ "89": "Very high standards",
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+ "90": "quick",
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+ "91": "professional service",
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+ "92": "Supportive environment",
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+ "93": "Excellent communication",
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+ "94": "Fixed the issue promptly",
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+ "95": "Competent service",
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+ "96": "Exceeded expectations",
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+ "97": "helpful staff",
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+ "98": "Easy to work with",
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+ "99": "Resolved the issue quickly",
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+ "100": "Skilled team",
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+ "102": "Excellent problem solving",
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+ "104": "reliable staff",
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+ "105": "Pleasant",
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+ "110": "Great value for money",
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+ "114": "responsive",
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+ "127": "Solved the problem efficiently",
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+ "128": "Great experience overall",
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+ "134": "Productive service",
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+ "135": "Accurate",
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+ "162": "thorough",
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+ "166": "Insightful assistance",
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+ "167": "Prompt assistance",
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+ "168": "approachable",
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+ "169": "Professionalism throughout",
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+ "170": "communication",
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+ "171": "Great service",
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+ "176": "Friendly technicians",
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+ "177": "effective communication",
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+ "178": "Clear",
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+ "179": "Remarkable craftsmanship",
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+ "180": "Efficient technicians",
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+ "181": "Politeness at its best",
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+ "182": "Responsive service",
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+ "183": "Efficient team",
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+ "184": "Exceptional delivery",
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+ "185": "Knowledgeable staff",
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+ "186": "Overall excellence",
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+ "187": "Attention to detail",
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+ "188": "Made me feel comfortable",
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+ "189": "trustworthy",
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+ "190": "Reliable interactions",
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+ "191": "Great service from start to finish",
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+ "192": "Reliable professionals",
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+ "193": "Swift assistance",
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+ "194": "Trustworthy professionals",
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+ "195": "Effective interventions",
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+ "196": "Prompt response",
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+ "197": "Very attentive",
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+ "198": "skilled team",
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+ "199": "Premium service",
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+ "200": "Skilled staff",
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+ "201": "Customer-focused",
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+ "202": "Great customer interaction",
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+ "203": "Prompt service",
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+ "204": "Very helpful advice",
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+ "205": "Great attention to customer needs",
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+ "206": "respectful",
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+ "207": "understanding",
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+ "208": "Very patient",
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+ "209": "Timely solutions",
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+ "210": "beyond",
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+ "211": "Went above",
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+ "212": "Very accommodating",
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+ "213": "Great attention to detail",
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+ "214": "Prompt professionals",
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+ "215": "Remarkable outcomes",
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+ "216": "experienced",
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+ "217": "Cordial staff"
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+ },
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+ "initializer_range": 0.02,
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+ "intermediate_size": 3072,
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+ "Affordable": 85,
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+ "Efficient technicians": 180,
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+ "Exceeded expectations": 96,
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+ "Fair pricing": 59,
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+ "Helpful team": 101,
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+ "Knowledgeable experts": 120,
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+ "Knowledgeable interactions": 65,
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+ "Listened to my concerns": 29,
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+ "Made me feel comfortable": 188,
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+ "Polite": 19,
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+ "Productive work": 14,
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+ "Remarkable outcomes": 215,
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+ "Responsive": 54,
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+ "Responsive service": 182,
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+ "Skilled experts": 146,
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+ "Skilled professionals": 62,
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+ "Skilled staff": 200,
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+ "Skilled support": 149,
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+ "Skilled team": 100,
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+ "Skilled technicians": 161,
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+ "Solved the problem efficiently": 127,
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+ "Solved the problem quickly": 76,
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+ "Speedy": 131,
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+ "Superior outcomes": 130,
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+ "Supportive environment": 92,
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+ "Supportive interactions": 46,
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+ "Supportive technicians": 124,
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