transformers库是由 Hugging Face 开发的一个非常流行的 Python 库,用于自然语言处理(NLP)任务。它提供了大量的预训练模型,这些模型可以用于各种 NLP 任务,如文本分类、问答、翻译、摘要生成等。以下是关于transformers库的详细介绍: 1. 主要特点 预训练模型:transformers库包含了多种预训练的语言模型,如 BERT、GPT、T...
上面介绍了push_to_hub()的三个参数,分别是repo名称、组织名称和auth token。我们推荐读者去官方文档查看具体参数Transformers documentation。 push_to_hub()函数是huggingface_hubPython库提供的函数。他可以被Transformers库或其它库(例如allenlp)。从前面几章,大家慢慢可以感受到Transformers的函数很容易嵌入到...
最前面附上官方文档:SentenceTransformers Documentation (一)Sentence-BERT 论文:Sentence-BERT: Sentence Embeddings using Siamese BERT-NetworksSentence-BERT详解 Sentence-BERT比较适用于处理sentence级别的任务,如:获取一个句子的向量表示、计算文本语义相似度等。主要是基于BERT微调得到 1、提出背景 若用BERT获取一个句...
DocumentationFull API documentation and more Installation This repo is tested on Python 3.6+, PyTorch 1.0.0+ (PyTorch 1.3.1+ for examples) and TensorFlow 2.0. You should install 🤗 Transformers in avirtual environment. If you're unfamiliar with Python virtual environments, check out theuser gui...
python -m pytest -sv ./pytorch_transformers/tests/ python -m pytest -sv ./examples/ 快速指南 让我们快速导览一下 PyTorch-Transformer。每个模型架构(Bert、GPT、GPT-2、Transformer-XL、XLNet、XLM)的详细示例均可在 完整的文档 中找到。 import torch ...
Please note that unspecified parameters will inherit [`~generation.GenerationConfig`]'s default values, whose documentation should be checked to parameterize generation. logits_processor (`LogitsProcessorList`, *optional*): Custom logits processors that complement the default logits processors built from ...
python-m transformers.onnx--model=distilbert-base-uncased onnx/ 代码语言:javascript 代码运行次数:0 运行 AI代码解释 在本地的执行记录如下: 代码语言:javascript 代码运行次数:0 运行 AI代码解释 2023-07-0916:48:37.895868:Itensorflow/core/platform/cpu_feature_guard.cc:182]This TensorFlow binary is opt...
from transformers import pipeline pipeline = pipeline(task="visual-question-answering", model="Salesforce/blip-vqa-base") pipeline( image="https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/transformers/tasks/idefics-few-shot.jpg", question="What is in the image?", ) [...
For more information, check out the fulldocumentation. Quick tour It's super simple to translate from existing code! Just like the python library, we support thepipelineAPI. Pipelines group together a pretrained model with preprocessing of inputs and postprocessing of outputs, making it the easies...
fromtransformersimportpipelinepipeline=pipeline(task="visual-question-answering",model="Salesforce/blip-vqa-base")pipeline(image="https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/transformers/tasks/idefics-few-shot.jpg",question="What is in the image?", ) [{'answer':'stat...