transformers

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training. (by huggingface)

Transformers Alternatives

Similar projects and alternatives to transformers

  1. llama.cpp

    LLM inference in C/C++

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  3. textgen

    Open-source desktop app for local LLMs. Text, vision, tool-calling, OpenAI/Anthropic-compatible API. 100% private.

  4. ollama

    Get up and running with Kimi-K2.6, GLM-5.1, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models.

  5. Pytorch

    420 transformers VS Pytorch

    Tensors and Dynamic neural networks in Python with strong GPU acceleration

  6. txtai

    394 transformers VS txtai

    💡 All-in-one AI framework for semantic search, LLM orchestration and language model workflows

  7. tensorflow

    An Open Source Machine Learning Framework for Everyone

  8. llama

    190 transformers VS llama

    Inference code for Llama models

  9. KoboldAI-Client

    For GGUF support, see KoboldCPP: https://github.com/LostRuins/koboldcpp

  10. stable-diffusion

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    Optimized Stable Diffusion modified to run on lower GPU VRAM (by basujindal)

  11. spaCy

    122 transformers VS spaCy

    💫 Industrial-strength Natural Language Processing (NLP) in Python

  12. vllm

    91 transformers VS vllm

    A high-throughput and memory-efficient inference and serving engine for LLMs

  13. qlora

    86 transformers VS qlora

    QLoRA: Efficient Finetuning of Quantized LLMs

  14. nanoGPT

    85 transformers VS nanoGPT

    The simplest, fastest repository for training/finetuning medium-sized GPTs.

  15. onnxruntime

    ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

  16. StableLM

    43 transformers VS StableLM

    StableLM: Stability AI Language Models

  17. lm-evaluation-harness

    A framework for few-shot evaluation of language models.

  18. peft

    29 transformers VS peft

    🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

  19. accelerate

    🚀 A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic mixed precision (including fp8), and easy-to-configure FSDP and DeepSpeed support

  20. datasets

    19 transformers VS datasets

    🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools

  21. sentence-transformers

    State-of-the-Art Embeddings, Retrieval, and Reranking

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a better transformers alternative or higher similarity.

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