https://github.com/dpressel/mead-tutorials
Tutorial on using MEAD
https://github.com/dpressel/mead-tutorials
Last synced: 9 months ago
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Tutorial on using MEAD
- Host: GitHub
- URL: https://github.com/dpressel/mead-tutorials
- Owner: dpressel
- Created: 2020-05-07T05:19:00.000Z (over 5 years ago)
- Default Branch: master
- Last Pushed: 2021-01-04T18:11:01.000Z (almost 5 years ago)
- Last Synced: 2025-01-03T21:30:00.655Z (10 months ago)
- Language: Jupyter Notebook
- Size: 209 KB
- Stars: 2
- Watchers: 2
- Forks: 1
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# mead-tutorials
Tutorials on using [MEAD](https://github.com/dpressel/mead-baseline)
### [Getting Started](mead_1_pytorch.ipynb) with MEAD & PyTorch [(Open in Colab)](https://colab.research.google.com/github/dpressel/mead-tutorials/blob/master/mead_1_pytorch.ipynb)
Train LSTM, ConvNet and BERT fine-tuned models for classification using the MEAD trainer
### Training [Named Entity Recognizers](mead_2_pytorch.ipynb) with MEAD & PyTorch [(Open in Colab)](https://colab.research.google.com/github/dpressel/mead-tutorials/blob/master/mead_2_pytorch.ipynb)
Learn how MEAD supports tagging and create a CNN-BiLSTM-CRF and BERT fine-tuned model for NER
### Training [Classifiers on Google TPUs](mead_tf_api_tpu.ipynb) using the API [(Open in Colab)](https://colab.research.google.com/github/dpressel/mead-tutorials/blob/master/mead_tf_api_tpu.ipynb)
Train a ConvNet classifier on TPUs using the TensorFlow API
### Training a [Transformer Masked Language Model on Google TPUs](mead_transformers_tpu.ipynb) using the API [(Open in Colab)](https://colab.research.google.com/github/dpressel/mead-tutorials/blob/master/mead_transformers_tpu.ipynb)
Pre-Train a Transformer Masked Language Model (like BERT/RoBERTa) using the API in TensorFlow on TPUs