Transformers
Model ● Covered in 18 stories + Follow
Transformers (model) is referenced as the underlying transformer architecture and as the Hugging Face Transformers library that standardizes model definitions across the machine learning ecosystem. Recent coverage includes using Transformers as an inference backend for PaddleOCR, benchmarking how models use the Transformers library in agentic setups, and discussions of Transformers’ role in interoperability with training frameworks and inference engines.
Updated 15 September 2026
Specifications
No specifications recorded yet.
Latest developments
June 2026
- Everything a Senior Engineer Needs to Know About What's Inside an LLM
- PP-OCRv6 on Hugging Face: 50-Language OCR from 1.5M to 34.5M Parameters
- Is it agentic enough? Benchmarking open models on your own tooling
May 2026
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March 2024
December 2023
Mistral AI releases Mixtral 8x7B, an open-weights mixture-of-experts language model Model release
July 2022
May 2022
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December 2019
Relationships
Products & technology
- Hugging Face develops this model · 5 sources
- Integrated with TensorFlow · 1 source
- Integrated with Wav2Vec2 · 1 source
- Integrated with pyctcdecode · 1 source
- Integrated with timm · 1 source
- Integrated with Axolotl · 1 source
- Integrated with vLLM · 1 source
- Integrated with llama.cpp · 1 source
- Optimum integrated with this model · 1 source
- Wav2Vec2 integrated with this model · 1 source
- codecarbon integrated with this model · 1 source
- PaddleOCR integrated with this model · 1 source