Transformers
huggingface
π€ Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and trainiβ¦
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Results: 52
huggingface
π€ Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and trainiβ¦
rishikksh20
PyTorch Implementation of CvT: Introducing Convolutions to Vision Transformers
OpenRaiser
Simplest distributed training API. 4 lines to add distributed support to any PyTorch script. Unified API for DeepSpeed/FSDP/Megatron/DDP. Automatic device placement, mixβ¦
huggingface
The official Python client for the Hugging Face Hub.
huggingface
π€ The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools
huggingface
A blazing fast inference solution for text embeddings models
cdpierse
Model explainability that works seamlessly with π€ transformers. Explain your transformers model in just 2 lines of code.
huggingface
This repo is the homebase of a community driven course on Computer Vision with Neural Networks. Feel free to join us on the Hugging Face discord: hf.co/join/discord
nateraw
π€πΌοΈ HuggingPics: Fine-tune Vision Transformers for anything using images found on the web.
huggingface
π€ Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.
huggingface
Build local voice agents with open-source models
huggingface
π€ Evaluate: A library for easily evaluating machine learning models and datasets.
huggingface
Distilled variant of Whisper for speech recognition. 6x faster, 50% smaller, within 1% word error rate.
huggingface
Sharing both practical insights and theoretical knowledge about LLM evaluation that we gathered while managing the Open LLM Leaderboard and designing lighteval!