# Share your projects! **URL:** \ **Category:** Course\ **Created:** [June 14, 2021, 2:57pm UTC](https://discuss.huggingface.co/t/share-your-projects/6803 "2021-06-14T14:57:56Z")\ **Posts on this page:** 20\ **Page:** 1
**Author:** ![sgugger](https://sea2.discourse-cdn.com/hellohellohello/user_avatar/discuss.huggingface.co/sgugger/32/2291_2.png) [@sgugger](https://discuss.huggingface.co/u/sgugger)\ **Post date:** [June 14, 2021, 2:57pm UTC](https://discuss.huggingface.co/t/share-your-projects/6803/1 "2021-06-14T14:57:57Z")
After following the first section of the course, you should be able to fine-tune a model on a text classification problem and upload it back to the Hub. Share your creations here and if you build a cool app using your model, please let us know! ---
**Author:** ![dk-crazydiv](https://sea2.discourse-cdn.com/hellohellohello/user_avatar/discuss.huggingface.co/dk-crazydiv/32/3071_2.png) [@dk-crazydiv](https://discuss.huggingface.co/u/dk-crazydiv)\ **Post date:** [June 17, 2021, 9:24am UTC](https://discuss.huggingface.co/t/share-your-projects/6803/2 "2021-06-17T09:24:24Z")
It’s not exactly a project, but I’m super excited to share my first public Kaggle dataset > **[Huggingface Modelhub](https://www.kaggle.com/crazydiv/huggingface-modelhub)** > > Dataset containing information on all the models on HuggingFace modelhub With the help from good folks at HF, I was able to query the metadata information available on [model-hub](https://huggingface.co/models) and upload it as a Kaggle dataset. It should be helpful to anyone looking to analyze and create EDA/Text-processing notebooks on the metadata of publicly available models. The dataset contains the README modelcard data as well. Please have a look and provide feedback. 🙂 ---
**Author:** ![osanseviero](https://sea2.discourse-cdn.com/hellohellohello/user_avatar/discuss.huggingface.co/osanseviero/32/38738_2.png) [@osanseviero](https://discuss.huggingface.co/u/osanseviero)\ **Post date:** [June 17, 2021, 10:37am UTC](https://discuss.huggingface.co/t/share-your-projects/6803/3 "2021-06-17T10:37:07Z")
@dk-crazydiv this is very cool! Would you like to add it as a HF dataset as well? Here is the process in case you’re interested: [Sharing your dataset — datasets 1.8.0 documentation](https://huggingface.co/docs/datasets/share_dataset.html) ---
**Author:** ![dk-crazydiv](https://sea2.discourse-cdn.com/hellohellohello/user_avatar/discuss.huggingface.co/dk-crazydiv/32/3071_2.png) [@dk-crazydiv](https://discuss.huggingface.co/u/dk-crazydiv)\ **Post date:** [June 17, 2021, 11:40am UTC](https://discuss.huggingface.co/t/share-your-projects/6803/4 "2021-06-17T11:40:48Z")
Yes. I was thinking of the following: - HF modelhub metadata as a HF dataset - HF datasets metadata as a HF dataset - HF datasets metadata as a Kaggle dataset This should complete the inception loop. 😃 Will update with progress soon. ---
**Author:** ![julien-c](https://sea2.discourse-cdn.com/hellohellohello/user_avatar/discuss.huggingface.co/julien-c/32/41937_2.png) [@julien-c](https://discuss.huggingface.co/u/julien-c)\ **Post date:** [June 17, 2021, 7:21pm UTC](https://discuss.huggingface.co/t/share-your-projects/6803/5 "2021-06-17T19:21:06Z")
great, looking forward to those! ---
**Author:** ![dk-crazydiv](https://sea2.discourse-cdn.com/hellohellohello/user_avatar/discuss.huggingface.co/dk-crazydiv/32/3071_2.png) [@dk-crazydiv](https://discuss.huggingface.co/u/dk-crazydiv)\ **Post date:** [June 19, 2021, 4:15pm UTC](https://discuss.huggingface.co/t/share-your-projects/6803/6 "2021-06-19T16:15:07Z")
Hi Everyone, > **[dk-crazydiv/huggingface-modelhub · Datasets at Hugging Face](https://huggingface.co/datasets/dk-crazydiv/huggingface-modelhub)** > > We’re on a journey to advance and democratize artificial intelligence through open source and open science. I’ve uploaded the modelhub data in HF datasets. Please provide feedback. 🙂 The documentation guide to create and share a dataset were very good, informative and helpful. I faced a couple of issues(most of which I overcame) while porting the data from kaggle style format to datasets library: - I couldn’t find any `datetime` object in [Features](https://huggingface.co/docs/datasets/features.html) And I saw a couple of other dataset using `string` as well. - Since I chose to share it as “community provided”, I had pip installed datasets library and some of the [commands in the doc](https://huggingface.co/docs/datasets/share_dataset.html#adding-metadata) specific to `datasets-cli` which expected datasets repo cloned didn’t work smoothly with relative paths but worked with absolute paths. - The `Explore dataset` button on hub isn’t working on [my dataset](https://huggingface.co/datasets/viewer/?dataset=dk-crazydiv/huggingface-modelhub). Is this because it’s a community provided dataset? ---
**Author:** ![ghosh-r](https://sea2.discourse-cdn.com/hellohellohello/user_avatar/discuss.huggingface.co/ghosh-r/32/2183_2.png) [@ghosh-r](https://discuss.huggingface.co/u/ghosh-r)\ **Post date:** [June 19, 2021, 6:19pm UTC](https://discuss.huggingface.co/t/share-your-projects/6803/7 "2021-06-19T18:19:26Z")
I wrote a beginner-friendly introduction to Huggingface’s `pipeline` API on Kaggle- > **[A Gentle Introduction to the Hugging Face API](https://www.kaggle.com/truthr/a-gentle-introduction-to-the-hugging-face-api)** > > Explore and run machine learning code with Kaggle Notebooks | Using data from No attached data sources ---
**Author:** ![dk-crazydiv](https://sea2.discourse-cdn.com/hellohellohello/user_avatar/discuss.huggingface.co/dk-crazydiv/32/3071_2.png) [@dk-crazydiv](https://discuss.huggingface.co/u/dk-crazydiv)\ **Post date:** [June 21, 2021, 12:36pm UTC](https://discuss.huggingface.co/t/share-your-projects/6803/8 "2021-06-21T12:36:00Z")
Published first notebook on the modelhub dataset. Found a couple of interesting insights. 🙂 Readme analysis attempt is pending. > **[HuggingFace Modelhub Analysis - EDA](https://www.kaggle.com/crazydiv/huggingface-modelhub-analysis-eda)** > > Explore and run machine learning code with Kaggle Notebooks | Using data from Huggingface Modelhub ---
**Author:** ![dk-crazydiv](https://sea2.discourse-cdn.com/hellohellohello/user_avatar/discuss.huggingface.co/dk-crazydiv/32/3071_2.png) [@dk-crazydiv](https://discuss.huggingface.co/u/dk-crazydiv)\ **Post date:** [June 23, 2021, 7:38pm UTC](https://discuss.huggingface.co/t/share-your-projects/6803/9 "2021-06-23T19:38:29Z")
Hi All, I’ve also written a post on publishing a dataset. The live sessions of course are super-duper-amazing( course itself is 10x, live speakers make it 100x, only comparable so far to fastai sessions in my experience). Thank you everyone for that. I finally am feeling that by fall, as a results of such high quality livestreams, transformers would be transparent as opposed to me using them only as a pretrained plugnplay blackbox. More learning-along-the-way projects to follow 🙂 > **[My experience with uploading a dataset on HuggingFace’s dataset-hub](https://towardsdatascience.com/my-experience-with-uploading-a-dataset-on-huggingfaces-dataset-hub-803051942c2d)** > > HuggingFace’s datasets library is a one-liner python library to download and preprocess datasets from HuggingFace dataset hub. The library… ---
**Author:** ![lewtun](https://sea2.discourse-cdn.com/hellohellohello/user_avatar/discuss.huggingface.co/lewtun/32/30995_2.png) [@lewtun](https://discuss.huggingface.co/u/lewtun)\ **Post date:** [June 23, 2021, 8:23pm UTC](https://discuss.huggingface.co/t/share-your-projects/6803/10 "2021-06-23T20:23:45Z")
this is great stuff @dk-crazydiv - thanks for sharing! ---
**Author:** ![chetnakhanna16](https://avatars.discourse-cdn.com/v4/letter/c/a183cd/32.png) [@chetnakhanna16](https://discuss.huggingface.co/u/chetnakhanna16)\ **Post date:** [June 24, 2021, 1:30am UTC](https://discuss.huggingface.co/t/share-your-projects/6803/11 "2021-06-24T01:30:02Z")
Wrote an introductory article to use the **Hugging Face Datasets** library for your next NLP project (published on TDS). > **[Use the Datasets library of Hugging Face in your next NLP project](https://towardsdatascience.com/use-the-datasets-library-of-hugging-face-in-your-next-nlp-project-94e300cca850)** > > A quick guide to use Hugging Face’s datasets library! ---
**Author:** ![Kirili4ik](https://sea2.discourse-cdn.com/hellohellohello/user_avatar/discuss.huggingface.co/kirili4ik/32/2911_2.png) [@Kirili4ik](https://discuss.huggingface.co/u/Kirili4ik)\ **Post date:** [October 23, 2021, 8:02pm UTC](https://discuss.huggingface.co/t/share-your-projects/6803/12 "2021-10-23T20:02:14Z")
Hi, everyone! I made a small project: fine-tuned a GPT model on my own telegram chat. To to be precise, I have used [Grossmend’s model](https://hf.co/Grossmend/rudialogpt3_medium_based_on_gpt2) which is ruDialoGPT3 - a DialoGPT for Russian language (trained on forums). The page provided enough info for me to fine-tune that model! I exported my own telegram chat (in Russian) and fine-tuned the model on it (for 3 epochs on 30mb of dialogues). After that I uploaded and created a model on 🤗 Hub as it is described in the videos. Even though it is in Russian I believe you can still check it out and take some inspiration: > **[Kirili4ik/ruDialoGpt3-medium-finetuned-telegram · Hugging Face](https://huggingface.co/Kirili4ik/ruDialoGpt3-medium-finetuned-telegram)** > > We’re on a journey to advance and democratize artificial intelligence through open source and open science. It works great! It uses phrases that are highly specific to my style of writing and that’s **cool**! ---
**Author:** ![Kirili4ik](https://sea2.discourse-cdn.com/hellohellohello/user_avatar/discuss.huggingface.co/kirili4ik/32/2911_2.png) [@Kirili4ik](https://discuss.huggingface.co/u/Kirili4ik)\ **Post date:** [October 23, 2021, 8:03pm UTC](https://discuss.huggingface.co/t/share-your-projects/6803/13 "2021-10-23T20:03:16Z")
P.S. It turned out pretty easy and I liked it so much that I decided to create a [ready-to-use-colab](https://colab.research.google.com/drive/1fnAVURjyZRK9VQg1Co_-SKUQnRES8l9R?usp=sharing) and a [github repository](https://github.com/Kirili4ik/ruDialoGpt3-finetune-colab) so anyone could fine-tune DialoGpt on exported telegram chats! ---
**Author:** ![Kirili4ik](https://sea2.discourse-cdn.com/hellohellohello/user_avatar/discuss.huggingface.co/kirili4ik/32/2911_2.png) [@Kirili4ik](https://discuss.huggingface.co/u/Kirili4ik)\ **Post date:** [October 26, 2021, 7:47am UTC](https://discuss.huggingface.co/t/share-your-projects/6803/14 "2021-10-26T07:47:03Z")
I’m sorry I can’t edit the last message so I’m writing a new one: I’ve made a 🤗 Spaces demo using Gradio for my project: > **[Chat with Kirill (ruDialoGPT3) - a Hugging Face Space by Kirili4ik](https://huggingface.co/spaces/Kirili4ik/chat-with-Kirill)** > > Discover amazing ML apps made by the community ---
**Author:** ![juancopi81](https://sea2.discourse-cdn.com/hellohellohello/user_avatar/discuss.huggingface.co/juancopi81/32/11815_2.png) [@juancopi81](https://discuss.huggingface.co/u/juancopi81)\ **Post date:** [March 10, 2022, 2:29pm UTC](https://discuss.huggingface.co/t/share-your-projects/6803/15 "2022-03-10T14:29:53Z")
Hey everyone, I finished the first section of the course, and as a practice of the concepts learnt I fine-tune a model nlptown/bert-base-multilingual-uncased-sentiment (multilingual model for sentiment analysis on product reviews) on the muchocine dataset, so now it is fine-tune for sentiment analysis on movie reviews in spanish. [Here is the Colab](https://colab.research.google.com/drive/17wHCMb0bF0l0nSQ1NMs99hqDO1QBC3m4?usp=sharing) of the task. Thanks for the great course! Edit: I forgot to add the [page of the model](https://huggingface.co/juancopi81/tutorial-model-bert-base-spanish-uncased-movie-rating) ---
**Author:** ![anubhavmaity](https://avatars.discourse-cdn.com/v4/letter/a/b19c9b/32.png) [@anubhavmaity](https://discuss.huggingface.co/u/anubhavmaity)\ **Post date:** [September 12, 2023, 4:46am UTC](https://discuss.huggingface.co/t/share-your-projects/6803/16 "2023-09-12T04:46:18Z")
Hello everyone, I’ve successfully completed Part 1 of the course and fine-tuned a model for the Movie Genre Prediction competition. You can check out my blog post where I detail my journey and findings related to this project: [Myblog - Movie Genre Predictions with Hugging Face Transformers](https://anubhavmaity.github.io/myblog/posts/movie_genre_prediction_using_hf_transformer/) ---
**Author:** ![vazgbruno](https://sea2.discourse-cdn.com/hellohellohello/user_avatar/discuss.huggingface.co/vazgbruno/32/22248_2.png) [@vazgbruno](https://discuss.huggingface.co/u/vazgbruno)\ **Post date:** [December 26, 2023, 12:11pm UTC](https://discuss.huggingface.co/t/share-your-projects/6803/17 "2023-12-26T12:11:07Z")
Hey! 🙂 I’ve also completed part 1 and used a pre-trained (Brazilian) Portuguese transformer model to perform text classification in a (European Portuguese) dataset with 22 classes. The results were not bad but I intend to improve them. I started doing the course when working in a project for a company, so I was learning and applying it straight away! Also, I would like to train a European Portuguese model, since I did not find any (just Brazilian Portuguese) – but that’s for another episode 😃 Thanks a lot!! ---
**Author:** ![Fah-d](https://sea2.discourse-cdn.com/hellohellohello/user_avatar/discuss.huggingface.co/fah-d/32/23485_2.png) [@Fah-d](https://discuss.huggingface.co/u/Fah-d)\ **Post date:** [January 31, 2024, 9:34am UTC](https://discuss.huggingface.co/t/share-your-projects/6803/18 "2024-01-31T09:34:44Z")
I finished the first part of the course and I fine-tuned xlm-roberta-pre-trained model, specifically trained on the shmuhammad/AfriSenti-twitter-sentiment dataset focusing on Yoruba tweets (my local Language). It aims to perform sentiment classification on Yoruba tweets, and can also serve as a base model for anyone interested in Yoruba language work. Here is the [link](https://huggingface.co/Fah-d/xlm-yoruba-tweets-classifications) ---
**Author:** ![vinhanguyen](https://sea2.discourse-cdn.com/hellohellohello/user_avatar/discuss.huggingface.co/vinhanguyen/32/27337_2.png) [@vinhanguyen](https://discuss.huggingface.co/u/vinhanguyen)\ **Post date:** [May 24, 2024, 9:40pm UTC](https://discuss.huggingface.co/t/share-your-projects/6803/19 "2024-05-24T21:40:45Z")
I fine tuned a model to classify reviews as positive or negative by training it on a Yelp reviews dataset. I wrote a [blog post](https://blog.vinhnguyen.org/2024/05/intro-to-machine-learning-using.html) explaining how I did it. ---
**Author:** ![mohamedkaram88](https://avatars.discourse-cdn.com/v4/letter/m/df705f/32.png) [@mohamedkaram88](https://discuss.huggingface.co/u/mohamedkaram88)\ **Post date:** [February 18, 2025, 6:58pm UTC](https://discuss.huggingface.co/t/share-your-projects/6803/20 "2025-02-18T18:58:13Z")
Hey, Eng sgugger i need to ask how push my project to hugging face while it’s already pushed to github and .git file saved this information . Thank You! [Next page](https://discuss.huggingface.co/t/share-your-projects/6803.md?page=2)