secsilm/transformers_tutorial
The tutorial of HuggingFace transformers.
This is a learning resource for developers to understand how to use the HuggingFace `transformers` library. It provides hands-on examples for common machine learning tasks like classifying text sequences, recognizing named entities in text, and classifying images. Developers with some Python experience who want to integrate pre-trained transformer models into their applications would use this.
No commits in the last 6 months.
Use this if you are a developer looking for practical examples to learn how to apply HuggingFace transformers to various NLP and computer vision problems.
Not ideal if you are not a developer and are looking for a ready-to-use application or a high-level explanation of transformer models.
Stars
16
Forks
2
Language
Python
License
MIT
Category
Last pushed
Aug 14, 2022
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/secsilm/transformers_tutorial"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
farach/huggingfaceR
Hugging Face state-of-the-art models in R
DengBoCong/nlp-paper
自然语言处理领域下的相关论文（附阅读笔记），复现模型以及数据处理等（代码含TensorFlow和PyTorch两版本）
xiangking/ark-nlp
A private nlp coding package, which quickly implements the SOTA solutions.
IDEA-CCNL/GTS-Engine
GTS Engine: A powerful NLU Training...
adapter-hub/Hub
ARCHIVED. Please use https://docs.adapterhub.ml/huggingface_hub.html || 🔌 A central repository...