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--- |
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library_name: transformers |
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tags: |
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- text-classification |
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language: |
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- en |
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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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It is a news enrichment model which classifies data into 5 different categories like news summary in 120 words, Named Entity Recognitions (NER) in that news for NER ORG, Relational Entity Mapping, Category and Type of the news |
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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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"We also published the following articles recently |
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Wipro CEO Pallia to get $4.5 million to $7 million in annual salary |
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Wipro's new CEO Pallia receives $4.5M to $7M compensation package, including base salary, variable pay, and stock units. Delaporte's previous year's salary decreased to $10M, with $4.3M compensation approved. |
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Wipro CEO Srini Pallia to get $4.5mn to $7mn in annual salary |
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Wipro's new CEO Srini Pallia's compensation ranges $4.5-$7 million and includes base salary, variable pay, stock compensation, and termination terms. Delaporte's salary decreased to $10 million in 2023-24. |
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Elevate your career to managerial excellence in Healthcare Management and Data Analytics with this IIM Kozhikode Programme |
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IIM Kozhikode's Healthcare Management and Analytics Programme equips healthcare professionals with data-driven decision-making and management skills to navigate the evolving healthcare landscape, fostering innovation and excellence in the industry. |
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Bengaluru: Hari Shetty has been elevated to chief strategist and sales excellence officer at Wipro. Shetty is a senior leader at Wipro , with a career spanning over three decades. As a sector head, he leads the technology platform, products, and gaming business division.His expertise encompasses client engagement, strategy development, execution, and P&L oversight for his business.Shetty has also played leadership roles across several industries, including retail and distribution.As the head of the retail vertical, he played a key role in incubating and expanding the business through strategic client partnerships, elevating Wipro to a top-tier provider of technology, business, and digital services to a majority of retailers. tnn" |
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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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{ |
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"Summary": "Wipro CEO Srini Pallia's compensation package ranges from $4.5 million to $7 million, including base salary, variable pay, stock compensation, and termination terms. The company's new CEO will receive $4.5 million to $7 million in annual salary. The news article also mentions the elevation of Hari Shetty to chief strategist and sales excellence officer at Wipro.", |
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"Organizations": { |
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"Wipro": 1, |
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"Srini Pallia": 1, |
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"Hari Shetty": 1 |
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}, |
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"Category": "Business", |
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"type": "Bullish", |
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"Relational Entity Mapping": { |
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"Wipro": "Profit", |
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"Srini Pallia": "Profit", |
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"Hari Shetty": "Neutral" |
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} |
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} |
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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] |