https://github.com/foyzulkarim/transformers-tasks

Examples and tutorials demonstrating various NLP tasks using HuggingFace transformers. Includes text classification, sentiment analysis, and more.
https://github.com/foyzulkarim/transformers-tasks

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

Last synced: 6 months ago
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Examples and tutorials demonstrating various NLP tasks using HuggingFace transformers. Includes text classification, sentiment analysis, and more.

• Host: GitHub
• URL: https://github.com/foyzulkarim/transformers-tasks
• Owner: foyzulkarim
• License: mit
• Created: 2025-02-18T10:21:24.000Z (11 months ago)
• Default Branch: main
• Last Pushed: 2025-03-10T03:58:03.000Z (11 months ago)
• Last Synced: 2025-07-03T20:57:53.164Z (7 months ago)
• Topics: ai, audio, examples, huggingf, huggingface-transformers, llm, machine-learning, nlp, python, transformers, tutorial, vision
• Language: Python
• Homepage:
• Size: 6.01 MB
• Stars: 5
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • Changelog: CHANGELOG.md
  • License: LICENSE

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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**  

   - Ensure you have [Miniconda](https://docs.conda.io/en/latest/miniconda.html) or [Anaconda](https://www.anaconda.com/products/distribution) installed on your machine.

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:

   ```bash

   conda create -n transformers-project python=3.10

   ```

3. **Activate the Environment**  

   Activate your new environment with:

   ```bash

   conda activate transformers-project

   ```

4. **Install Dependencies**  

   Install the Transformers library (and any other dependencies) using pip:

   ```bash

   pip install transformers

   ```

   OR install the library from a requirements file:

   ```bash

   pip install -r requirements.txt

   ```