LegaLang / README.md
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metadata
license: mit
language:
  - en
library_name: transformers
pipeline_tag: summarization

Model Card for LegaLang

Model Details

Model Description

This model is created as fine tuned on legal dataset with Llama2 7B model.

  • Developed by: Jayesh Thakur
  • Model type: Fine tuned Llama2 7B
  • Language(s) (NLP): English
  • License: MIT
  • Finetuned from model [optional]: Llama2 by Meta (7B parameters)

Model Sources [optional]

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  • Demo [optional]: [More Information Needed]

Uses

Direct Use

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Downstream Use [optional]

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Out-of-Scope Use

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Bias, Risks, and Limitations

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Recommendations

Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.

How to Get Started with the Model

Use the code below to get started with the model.

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Training Details

Training Data

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Training Procedure

Preprocessing [optional]

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Training Hyperparameters

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Speeds, Sizes, Times [optional]

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Evaluation

Testing Data, Factors & Metrics

Testing Data

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Factors

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Metrics

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Results

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Summary

Model Examination [optional]

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Environmental Impact

Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).

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  • Hours used: [More Information Needed]
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Technical Specifications [optional]

Model Architecture and Objective

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Compute Infrastructure

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Hardware

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Software

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Citation [optional]

BibTeX:

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APA:

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Glossary [optional]

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More Information [optional]

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Model Card Authors [optional]

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Model Card Contact

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