yucc2018/share
一些代码实践分享。
This collection of code helps data scientists and machine learning engineers quickly get started with large language models. It provides practical examples and runnable code for tasks like text classification and language model training and deployment using the Hugging Face Transformers library. If you work with natural language processing, this resource helps you understand and implement these powerful models more efficiently.
No commits in the last 6 months.
Use this if you are a data scientist or machine learning engineer looking for practical, code-based tutorials to learn and apply Transformer models in your NLP workflows.
Not ideal if you are not working with natural language processing or are not comfortable with Python and machine learning concepts.
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Last pushed
Jul 27, 2020
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