本章主要介绍Hugging Face下的另外一个重要库:Datasets库,用来处理数据集的一个python库。当微调一个模型时候,需要在以下三个方面使用该库,如下。 从Huggingface Hub上下载和缓冲数据集(也可以本地哟!) 使用Dataset.map()预处理数据 加载和计算指标 Datasets库可以很方便的完成上述三个操作,另外在本章中...
It was the first structure in the world to reach a height of 300 metres .'}] 如何在本地运行 参考:huggingface.co/docs/tra pip install torch pip install transformers from transformers import pipeline get_completion = pipeline("summarization", model="shleifer/distilbart-cnn-12-6") def summarize...
Figure 1 shows the GPT2 architecture which has a repeating structure: a series of multi-head attention (MHA) layers applied successively. Each MHA layer projects the inputs using the model weights, computes the attention mechanism, and re-projects the output of the attention into a new ...
print("\n\n*** Generate:") input_ids = tokenizer(prompt_template, return_tensors='pt').input_ids.cuda() output = model.generate(inputs=input_ids, temperature=0.7, do_sample=True, top_p=0.95, top_k=40, max_new_tokens=512) print(tokenizer.decode(output[0])) # Inference can also...
* generated code from add-new-model-like * Add code for modeling, config, and weight conversion * add tests for image-classification, update modeling and config * add code, tests for semantic-segmentation * make style, make quality, make fix-copies * make fix-copies * Update modeling_mobile...
Next, we will use thepipelinestructure to implement different tasks. from transformers import pipeline The pipeline allows to specify multiple parameters such astask,model,device,batch size, and other task specific parameters. Let’s begin with the first task. ...
“politeness”. The dialogue examples then condition the model to follow the multi-turn format of a conversation. When a user asks a question, the whole prompt is fed to the model and it generates an answer after theAssistant:prefix. The answer is then concatenated to the prompt and the ...
简介:本部分首先介绍如何使用pipeline()进行快速推理,然后介绍AutoClass:用AutoModel加载预训练模型、用tokenizer将文本转化为模型的数字输入、用AutoConfig来改变模型超参、用AutoFeatureExtractor加载预训练的feature extractor、用AutoProcessor加载预训练的processor。本文将仅关注PyTorch语言,但对TensorFlow语言的适配在本部分...
Structure Extraction Model by NuMind 🔥 NuExtract_tiny is a version ofQwen1.5-0.5, fine-tuned on a private high-quality synthetic dataset for information extraction. To use the model, provide an input text (less than 2000 tokens) and a JSON template describing the information you need to ...
│ 22 │ │ # print("\n") │ │ 23 │ │ 24 from unstructured.partition.pdf import partition_pdf │ │ > 25 elements = partition_pdf(filename=filename, infer_table_structure=True │ │ 26 tables = [el for el in elements if el.category == "Table"] │ ...