hellotransformers/Natural_Language_Processing_with_Transformers
Natural Language Processing with Transformers 中译本,最权威Transformers教程
This is a comprehensive guide for developers looking to build natural language processing (NLP) applications using the Hugging Face Transformers library. It takes you from understanding core concepts to creating functional programs. Developers will use this resource to learn how to process text data and generate useful outputs for various NLP tasks.
568 stars. No commits in the last 6 months.
Use this if you are a developer who wants to learn how to implement and build applications using the Hugging Face Transformers library for natural language processing.
Not ideal if you are a non-developer seeking an end-user application or a simplified tool for text analysis without needing to code.
Stars
568
Forks
119
Language
—
License
—
Category
Last pushed
Feb 25, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/transformers/hellotransformers/Natural_Language_Processing_with_Transformers"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
ThilinaRajapakse/simpletransformers
Transformers for Information Retrieval, Text Classification, NER, QA, Language Modelling,...
jsksxs360/How-to-use-Transformers
Transformers 库快速入门教程
google/deepconsensus
DeepConsensus uses gap-aware sequence transformers to correct errors in Pacific Biosciences...
Denis2054/Transformers-for-NLP-2nd-Edition
Transformer models from BERT to GPT-4, environments from Hugging Face to OpenAI. Fine-tuning,...
abhimishra91/transformers-tutorials
Github repo with tutorials to fine tune transformers for diff NLP tasks