pipeline(管道)是huggingface transformers库中一种极简方式使用大模型推理的抽象,将所有大模型分为音频(Audio)、计算机视觉(Computer vision)、自然语言处理(NLP)、多模态(Multimodal)等4大类,28小类任务(tasks)。共计覆盖32万个模型 今天介绍NLP自然语言处理的第五篇:文本分类(text-classification),在huggingface库内有...
pipeline(管道)是huggingface transformers库中一种极简方式使用大模型推理的抽象,将所有大模型分为音频(Audio)、计算机视觉(Computer vision)、自然语言处理(NLP)、多模态(Multimodal)等4大类,28小类任务(tasks),共计覆盖32万个模型。 今天介绍Audio的第三篇,文本转音频(text-to-audio/text-to-speech),在huggingface...
huggingface/transformersを直接修正しても良いですが、元のライブラリに変更は加えたくないため、 TextClassificationPipelineを継承しTextClassificationPipelineAddOutputsを実装します。 text_classification_add_outputs.py classTextClassificationPipelineAddOutputs(TextClassificationPipeline):defforward(self,model_inputs...
可以使用huggingFace的evaluate库来进行模型评估。通过evaluate的load方法可以加载一些常用的评估指标。可以用a...
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http://huggingface.com/zero-shot/ Example implementaton of zero-shot text classificationEdit description huggingface.co That is possible due to the well-trained BERT model as a general-purpose language model. It is capable of connecting texts that are subjects for classification, with the classes ...
Use HF_TASK to define the task for the Hugging Face transformers pipeline and HF_MODEL_ID to define the model used to classify the text: # Hub model configuration <https://huggingface.co/models> hub = { 'HF_MODEL_ID':'facebook/bart-large-mnli', # The model_id from the Hugg...
可以看到,在Transformers中,特征抽取默认的模型是distilbert-base-cased。至于为什么使用distilbert而不是其他众多模型?稍微思考一下,首先distilbert较为轻量级这是肯定的。最重要的是,distilbert是HuggingFace的亲儿子。 Feature extraction pipeline using no model head. This pipeline extracts the hidden states from the...
Ampere 80 (A100, A30)ghcr.io/huggingface/text-embeddings-inference:1.5 Ampere 86 (A10, A40, ...)ghcr.io/huggingface/text-embeddings-inference:86-1.5 Ada Lovelace (RTX 4000 series, ...)ghcr.io/huggingface/text-embeddings-inference:89-1.5 ...
人工智能pipelinetext对象模型 LDG_AGI29天前 今天介绍NLP自然语言处理的第六篇:文本生成(text-generation),在huggingface库内有13.4万个文本生成(text-generatio... 12410 【人工智能】Transformers之Pipeline(十七):文本分类(text-classification) 人工智能classificationpipelinetext模型 ...