Hugging Face Course Models
Welcome to my first Hugging Face model repository.
This repository was created as part of my learning journey with the Hugging Face Transformers library.
Purpose
The purpose of this repository is to learn how to:
- Create a Hugging Face model repository
- Understand Model Cards
- Save pretrained models
- Upload models to the Hugging Face Hub
- Share models with other users
Model Information
This repository will contain models developed during my Hugging Face course.
Current focus:
- Text Classification
- Sentiment Analysis
- Tokenization
- Transformer Models
Libraries
The models in this repository are built using:
- Transformers
- PyTorch
- Hugging Face Hub
Example
from transformers import pipeline
classifier = pipeline(
"sentiment-analysis"
)
classifier("I love Hugging Face!")
Expected output
POSITIVE
Future Updates
This repository will gradually include:
- Fine-tuned models
- Model weights
- Tokenizers
- Training notebooks
- Example applications
- Documentation
Author
Arlette Laure
Artificial Intelligence with Hugging Face Transformers Course
License
MIT License
- Downloads last month
- -