Transformers-Domain-Adaptation

Transformers-Domain-Adaptation

georgian-io

Adapt Transformer-based language models to new text domains

natural-language-processing
View on GitHub
79 Stars
12 Forks
79 Watchers
Jupyter Notebook Language
mit License
Cost to Build
$11.7K
Market Value
$18.2K
How is this calculated?

Growth over time

3 data points  ·  2022-07-26 → 2023-03-23
Stars Forks Watchers
💬

How do you feel about this project?

Ask AI about Transformers-Domain-Adaptation

Question copied to clipboard

What is the georgian-io/Transformers-Domain-Adaptation GitHub project? Description: "Adapt Transformer-based language models to new text domains". Written in Jupyter Notebook. Explain what it does, its main use cases, key features, and who would benefit from using it.

Question is copied to clipboard — paste it after the AI opens.

How to clone Transformers-Domain-Adaptation

Clone via HTTPS

git clone https://github.com/georgian-io/Transformers-Domain-Adaptation.git

Clone via SSH

[email protected]:georgian-io/Transformers-Domain-Adaptation.git

Download ZIP

Download master.zip

Found an issue?

Report bugs or request features on the Transformers-Domain-Adaptation issue tracker:

Open GitHub Issues

Similar to Transformers-Domain-Adaptation

lectures spaCy HanLP gensim stanford-tensorflow-tutorials nltk pattern awesome-nlp TextBlob CoreNLP allennlp mycroft-core practical-pytorch textract languagetool nlp_tasks MITIE Awesome-pytorch-list machine_learning_examples prose arXivTimes ltp libpostal sling DeepNLP-models-Pytorch sentencepiece DAT8 attention-is-all-you-need-pytorch kaggle-CrowdFlower iOS_ML