value_layer = self.transpose_for_scores(self.value(hidden_states)) query_layer = self.transpose_for_scores(mixed_query_layer) # 这里 key_layer/value_layer/query_layer 的形状为: # (batch_size, num_attention_heads, se
return_dict: Optional[bool] = None, ) -> Union[Tuple, BaseModelOutputWithPoolingAndCrossAttentions]: 官方文档对其解释,这段解释对应的就是transformer那个图,即在decoder的decode阶段(不是训练阶段),可以输入past_key_values,然后decoder_input_ids只输入(batch,1)的张量,也就是batch_size个[CLS]或者其他的S...
深入探讨Hugging Face的BertModel中的一些关键类和参数，整理如下：一、PreTrainedModel PreTrainedModel类位于transformers.modeling_utils文件中，提供基本的预训练模型框架。初始化可以通过from_pretrained(path)或直接创建实例实现。二、BertPreTrainedModel BertPreTrainedModel继承自PreTrainedModel，专门针对BERT模型...
Hugging Face, which is best known for running a large repository of open-source and “open-weight” AI models, has increasingly moved into robotics in the past year. “Robotics is going to be the next frontier that AI will unlock,” Thomas Wolf, Hugging Face’s co-founder and chief sci...
Somewhat surprisingly, this technique also works for StarCoder! This is enabled by the model’s 8k token context length, which allows one to include a wide variety of programming examples and covert the model into a coding assistant. Here’s an excerpt of the StarCoder prompt: ...
01-ai/Yi-34B-200K · Hugging Face ### Building the Next Generation of Open-Source and Bilingual LLMs 🤗 Hugging Face • 🤖 ModelScope • ✡️ WiseModel 👩🚀 Ask questions or discuss ideas on GitHub 👋 Join us on 👾 Discord or 💬 WeChat 📝 Check out Yi Tech ...
Hugging Face developers now have access to much faster inference speeds on a wide range of the best open source models. And Zeke Sikelianos, Founding Designer at Replicate quoted: Hugging Face is the de facto home of open-source model weights, and has been a key player in making AI more ...
Model Deployment Platform Data Modeling Data Preparation Popular Integrations There is not enough information to display integrations. BestHugging FaceAlternatives forEnterprises Posit Score9.8out of 10 Posit, formerly RStudio, is a modular data science platform, combining open source and commercial products...
model on a DigitalOcean GPU Droplet. We’ll walk you through the simple process so you can get started right away. We’ll also cover what makes Llama 3.1 unique compared to previous Llama models and understand three fundamental concepts from Hugging Face: Transformers, Pipelines, and Tokenizers...
一、PreTrainedModel 这个类在transformers.modeling_utils文件中: class PreTrainedModel(nn.Module, ModuleUtilsMixin, GenerationMixin): …… def __init__(self, config, *inputs, **kwargs): super().__init__() if not isinstance(config, PretrainedConfig): ...