foyzulkarim/transformers-tasks

Examples and tutorials demonstrating various NLP tasks using HuggingFace transformers. Includes text classification, sentiment analysis, and more.

5

stars

75

commits

Python

primary language

Mar 10, 2025

updated

ai
audio
examples
huggingf
huggingface-transformers
llm
machine-learning
nlp
python
transformers
tutorial
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README

ai-course-practice

Project Setup with Conda

Follow these steps to set up a fresh Python project using conda:

  1. Prerequisites

  2. Create a Conda Environment
    Open your Terminal and run the following command to create a new environment named transformers-project with Python 3.9:

    conda create -n transformers-project python=3.10
    
  3. Activate the Environment
    Activate your new environment with:

    conda activate transformers-project
    
  4. Install Dependencies
    Install the Transformers library (and any other dependencies) using pip:

    pip install transformers
    

    OR install the library from a requirements file:

    pip install -r requirements.txt
    

Contributors

foyzulkarim

60 commits

actions-user

15 commits

foyzulkarim/transformers-tasks

Examples and tutorials demonstrating various NLP tasks using HuggingFace transformers. Includes text classification, sentiment analysis, and more.

5

stars

75

commits

Python

primary language

Mar 10, 2025

updated

ai
audio
examples
huggingf
huggingface-transformers
llm
machine-learning
nlp
python
transformers
tutorial
vision

README

ai-course-practice

Project Setup with Conda

Follow these steps to set up a fresh Python project using conda:

  1. Prerequisites

  2. Create a Conda Environment
    Open your Terminal and run the following command to create a new environment named transformers-project with Python 3.9:

    conda create -n transformers-project python=3.10
    
  3. Activate the Environment
    Activate your new environment with:

    conda activate transformers-project
    
  4. Install Dependencies
    Install the Transformers library (and any other dependencies) using pip:

    pip install transformers
    

    OR install the library from a requirements file:

    pip install -r requirements.txt
    

Contributors

foyzulkarim

60 commits

actions-user

15 commits

Languages

Python

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Shell

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