A project for dear interns on classifying entities for BSLM products
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The goal of this project is to classify entities with the highest possible accuracy. First, download the data as described in the
load_dataset.py
file. If you need a GPU for experiments, you can use Google Colab and Kaggle. -
After developing and evaluating the model, you need to perform two tasks:
- First, push the model to your Hugging Face account.
- Second, write a Python script that loads the model and evaluates it on a test dataset that you created from the training dataset.
- Finally, submit this script by opening a pull request on this repository.
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If you have any questions, feel free to ask me on Telegram @esmln
Good Luck