├── 1 Emotion Prediction | NLP with HuggingFace Tutorial.ipynb
├── 2 NER Training | NLP with HuggingFace Tutorial.ipynb
├── 3 Text Generation | NLP with HuggingFace Tutorial.ipynb
├── 4 Summarization | NLP with HuggingFace Tutorial.ipynb
├── 5 Fine Tuning DistilBERT for Multi-Label Classification | NLP with HuggingFace Tutorial.ipynb
├── 6 Sentiment Analysis with DistilBERT - NLP with Hugging Face Tutorials.ipynb
└── README.md


/README.md:
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 1 | # NLP-Tutorials-with-HuggingFace
 2 | Learn NLP Tutorials with HuggingFace Transformers
 3 | 
 4 | # Announcement-on-ML
 5 | <a href='http://www.kgptalkie.com' target="_blank"> <img src='https://github.com/laxmimerit/Important-Announcement-on-ML/raw/master/kgptalkie_strips.png'/></a>
 6 | 
 7 | # ML Resources
 8 | |  ML Course | Description |
 9 | |:---|:---|
10 | | [**Fine Tuning LLM with HuggingFace Transformers for NLP**](https://www.udemy.com/course/fine-tuning-llm-with-hugging-face-transformers/?referralCode=6DEB3BE17C2644422D8E) | Learn how to fine tune LLM with custom dataset. You will learn basics of transformers then fine tune LLM|
11 | | [**Data Visualization in Python Masterclass™: Beginners to Pro**](https://bit.ly/udemy95off_kgptalkie) |  Learn to build Machine Learning and Deep Learning models using Python and its libraries like Scikit-Learn, Keras, and TensorFlow. |
12 | | [**Python for Machine Learning: A Step-by-Step Guide**](https://bit.ly/ml-ds-project) | Learn to build Machine Learning and Deep Learning models using Python and its libraries like Scikit-Learn, Keras, and TensorFlow. |
13 | | [**Deep Learning for Beginners with Python**](https://bit.ly/dl-with-python) | Neural Networks, TensorFlow, ANN, CNN, RNN, LSTM, Transfer Learning and Much More. |
14 | | [**Python for Linear Regression in Machine Learning**](https://bit.ly/regression-python) | Learn to build Linear Regression models using Python and its libraries like Scikit-Learn. |
15 | | [**Introduction to Spacy 3 for Natural Language Processing**](https://bit.ly/spacy-intro) | Learn to build Natural Language Processing models using Python and its libraries like Spacy. |
16 | | [**Advanced Machine Learning and Deep Learning Projects**](https://bit.ly/kgptalkie_ml_projects) | Learn to build Advanced Machine Learning and Deep Learning models using Python and transformer models like BERT, GPT-2, and XLNet. |
17 | | [**Natural Language Processing in Python for Beginners**](https://bit.ly/intro_nlp) | Learn to build Natural Language Processing Projects using Spacy, NLTK, and Gensim, and transformer models like BERT, GPT-2, and XLNet. |
18 | | [**Deployment of Machine Learning Models in Production in Python**](https://bit.ly/bert_nlp) |  Learn to deploy Machine Learning and Deep Learning models using Python and its libraries like Flask, Streamlit, and NGINX. |
19 | | [**R 4.0 Programming for Data Science - Beginners to Pro**](https://bit.ly/r4-ml) | Learn to build Machine Learning and Deep Learning models using R and its libraries like caret, tidyverse, and keras. |
20 | 
21 | 


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