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
Q2 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
- PaddleOCR 3.5: Running OCR and Document Parsing Tasks with a Transformers Backend
- The PR you would have opened yourself
Q2 2025
Q1 2025
- SmolVLM2: Bringing Video Understanding to Every Device
- Timm ❤️ Transformers: Use any timm model with transformers
Q1 2024
Q4 2023
Mistral AI releases Mixtral 8x7B, an open-weights mixture-of-experts language model Model release
Q3 2022
Q2 2022
- Accelerated Inference with Optimum and Transformers Pipelines
- CO2 Emissions and the 🤗 Hub: Leading the Charge
- ~Don't~ Repeat Yourself
Q1 2022
- Guiding Text Generation with Constrained Beam Search in 🤗 Transformers
- Making automatic speech recognition work on large files with Wav2Vec2 in 🤗 Transformers
- Boosting Wav2Vec2 with n-grams in 🤗 Transformers
Q4 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