Along the way, you'll learn how to work with the Hugging Face Hub, the largest open-source catalog of models and datasets. Semantic segmentation is the task of classifying each pixel in an image. You can see it as a more precise way of classifying an image. It has a wide ...
The Hugging Face Hub is home to over 100,000 public models for different tasks such as next-word prediction, mask filling, token classification, sequence classification, and so on. As of today, we support8 core vision tasksproviding many model checkpoints: Image classification Image seg...
Hugging Face Hub 是一个拥有超过 120k 模型、20k 数据集和 50k 演示应用程序 (Spaces) 的平台Repositories Models, Spaces, and Datasets are hosted on the Hugging Face Hub as Git repositories, which means that version control and collaboration are core elements of the Hub. Cloning repositories 克隆...
Utilisez le parallélisme des tenseurs de la bibliothèque de parallélisme des SageMaker modèles pour entraîner les modèles Hugging Face Transformer : -2GPT, -J et R. GPT BERT oBERTa
Hugging Face Hub 是一个拥有超过 120k 模型、20k 数据集和 50k 演示应用程序 (Spaces) 的平台Repositories Models, Spaces, and Datasets are hosted on the Hugging Face Hub as Git repositories, which means that version control and collaboration are core elements of the Hub. Cloning repositories 克隆...
HuggingGPTAI areaGlobal PlanningModels in Hugging Face TaskArgsCandidate ModelsDescriptions NLP Tasks Text-CLStext[cardiffnlp/twitter-roberta-base-sentiment, …][“This is a RoBERTa-base model trained on 58M tweets…”, …] Token-CLStext[dslim/bert-base-NER, …][“bert-base-NER is a fine-...
Parameter-Efficient Fine-Tuning (PEFT), is a Hugging Face library, created to support the creation and fine tuning of adapter layers on LLMs.peft is seamlessly integrated with 🤗 Accelerate for large scale models leveraging DeepSpeed and Big Model Inference. The library supports many state...
Parameter-Efficient Fine-Tuning (PEFT), is a Hugging Face library, created to support the creation and fine tuning of adapter layers on LLMs.peft is seamlessly integrated with 🤗 Accelerate for large scale models leveraging DeepSpeed and Big Model Inference. The library supports many ...
Hugging Face Hub 是一个拥有超过 120k 模型、20k 数据集和 50k 演示应用程序 (Spaces) 的平台Repositories Models, Spaces, and Datasets are hosted on the Hugging Face Hub as Git repositories, which means that version control and collaboration are core elements of the Hub. Cloning repositories 克隆...
Parameter-Efficient Fine-Tuning (PEFT), is a Hugging Face library, created to support the creation and fine tuning of adapter layers on LLMs.peft is seamlessly integrated with 🤗 Accelerate for large scale models leveraging DeepSpeed and Big Model Inference. The library supports many state of...