model_name_or_path = "harshit345/xlsr-wav2vec-speech-emotion-recognition" config = AutoConfig.from_pretrained(model_name_or_path) feature_extractor = Wav2Vec2FeatureExtractor.from_pretrained(model_name_or_path) sampling_rate = feature_extractor.sampling_rate model = Wav2Vec2ForSpeechClassificatio...
新词汇的加入,势必会不适配原始embedding的维度,原始的embedding维度为[vocab_size,hidden_size],但是我们又不可能重新去训练整个embedding,我们想尽量保留原始embedding参数,因此,这里比较巧妙的运用了reshape技巧,人为添加新词汇的embedding(随机的,没学习),然后使用领域材料进行学习。 这种方法,因为是添加token,需要修改emb...
在前面章节中已经知道如何从Hugging Face Hub上下载和缓存数据集(使用load_dataset直接指定Hub上已有的数据集名称)。但是我们经常会遇到需要加载本地和远程服务器上数据的情况,本节就是介绍如何使用Hugging Face的Datasets库来完成那些Hub没有的数据集加载方法。 处理本地和远程服务器上的数据集 Datasets库提...
maidalun1020/bce-embedding-base_v1 · Hugging Face 内容: # BCEmbedding: Bilingual and Crosslingual Embedding for RAG 最新bce-embedding-base_v1相关信息,以及更多MTEB和RAG相关评测细节,请移步: The latest "Updates" should be check in: GitHub 主要特点(Key Features): * 中英双语,以及中英跨语种能力...
<|im_free|> “”” 现在可以使用Ollama在 Hugging Face Hub 上运行任何 GGUF 模型 链接:https://news.miracleplus.com/share_link/44690 搞定了!你现在可以直接使用 @ollama 在 Hugging Face Hub 上运行任何 GGUF 模型了 🔥 ...
I made a mistake in the interface: I put "text-embedding-3-large" instead of "sentence-transformers/all-MiniLM-L6-v2". Since then, I can't start my Docker container because it tells me that it can't download "text-embedding-3-large" on Hugging Face. Do you have any idea how to ...
At least 100 instances of malicious AI ML models were found on the Hugging Face platform, some of which can execute code on the victim's machine, giving attackers a persistent backdoor. Hugging Face is a tech firm engaged in artificial intelligence (AI), natural language processing (NLP)...
spring.ai.ollama.chat.options.modelandspring.ai.ollama.embedding.options.modelare used to set the Hugging Face GGUF model names following the naming convention:hf.co/{username}/{repository} Thepull-model-strategy=alwaysenables automatic model pulling. For production, it's recommended to pre-downl...
51CTO博客已为您找到关于Hugging Face 的embedding的相关内容,包含IT学习相关文档代码介绍、相关教程视频课程,以及Hugging Face 的embedding问答内容。更多Hugging Face 的embedding相关解答可以来51CTO博客参与分享和学习,帮助广大IT技术人实现成长和进步。
Hugging Face is an excellent starting point when working on NLP projects; it is also great for prototyping and developing pipelines for NLP tasks, being those tasks general like embedding representation or specific, like SQUAD models and datasets. It needs more phonetic models or datasets to be ...