self.id2label = dict((int(key), value) for key, value in self.id2label.items()) # Keys are always strings in JSON so convert ids to int here. else: self.num_labels = kwargs.pop("num_labels", 2) # Tokenizer argu
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, sequence_length, attention_head_size) # transpose_for_scores 已经将其拆成多...
1. 用如下脚本可以下载HuggingFace上的各种模型, 网址https://huggingface.co/models download.py #coding=gbkimporttimefromhuggingface_hubimportsnapshot_download#huggingface上的模型名称repo_id ="LinkSoul/Chinese-Llama-2-7b-4bit"#本地存储地址local_dir ="E:\\work\\AI\\GPT\\llama_model_7b_4bit"cache...
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...
In May, we announced a deepened partnership with Hugging Face and we continue to add more leading-edge Hugging Face models to the Azure AI model catalog on a...
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...
In the case of the discovered model, since the malicious payload is inserted at the beginning of the Pickle stream, execution of the model wouldn’t be detected as unsafe by Hugging Face’s existing security scanning tools. Protect your ML models RL is constantly improving its malware detection...
the work of others. This collaborative environment allows for uploading, improving, and commercializing models and datasets. You may findopen source modelson Hugging Face suitable for many machine-learning tasks, such as text, audio, image, or multimodal models that can be used for your ...
01-ai/Yi-VL-34B · Hugging Face Yi-VL-34B模型托管在Hugging Face上,是全球首个开源的340亿视觉语言模型,代表了人工智能领域的重大进展。它以其双语多模态能力脱颖而出,可以进行英文和中文的多轮文本-图像对话。该模型在图像理解方面表现出色,并在MMMU和CMMMU等基准测试中... 内容导读 Yi-VL-34B模型托管在...
### Building the Next Generation of Open-Source and Bilingual LLMs 🤗 Hugging Face • 🤖 ModelScope • ✡️ WiseModel 👋 Join us 💬 WeChat (Chinese) ! * * * 📕 Table of Contents * * * # What is Yi? ## Introduction * 🤖 The Yi series models are the next generat...