format(question) >>> url = "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/compel-neg.png" >>> image = Image.open(requests.get(url, stream=True).raw) >>> inputs = processor(text=text, images=image, return_tensors="pt").to(0, torch.float16) >...
transformer是一个实现了一系列通用预训练模型(BERT, GPT-2, RoBERTa, XLM, DistilBert, XLNet…)的用于NLU和NLG的框架,适用于Pytorch和TensorFlow Transformers - transformers 2.1.1 documentationhuggingface.co/transformers/v2.1.1/index.html 本文用于本人在使用transformer中各种模型的个人理解以及文档记录。若发...
ViTMSN 模型是由 Mahmoud Assran、Mathilde Caron、Ishan Misra、Piotr Bojanowski、Florian Bordes、Pascal Vincent、Armand Joulin、Michael Rabbat、Nicolas Ballas 提出的用于标签高效学习的 Masked Siamese Networks。该论文提出了一种联合嵌入架构,用于将屏蔽补丁的原型与未屏蔽补丁的原型进行匹配。通过这种设置,他们的...
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...
(b) Contractors shall treat as confidential, to the maximum extent allowed by law or by the requirement of the contractor’s insurance provider, any request by an employee or applicant for employment benefits or any documentation of eligibility for benefits submitted by an employee or applicant ...
>>> prompt = prompt.format(question) >>> url = "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/compel-neg.png" >>> image = Image.open(requests.get(url, stream=True).raw) >>> inputs = processor(text=text, images=image, return_tensors="pt").to...
[Marian] documentation and AutoModel support (#4152) 5年前 deploy_multi_version_doc.sh GPU text generation: mMoved the encoded_prompt to correct device 5年前 hubconf.py rm boto3 dependency 5年前 setup.cfg Fix: unpin flake8 and fix cs errors (#4367) ...
8. Explore Documentation HuggingFace Transformers has extensive documentation that provides in-depth explanations, examples, and advanced usage guides. You can refer to this documentation for more detailed information. The steps outlined above give you a general idea of the installation and setup process...
Transformers.js usesONNX Runtimeto run models in the browser. The best part about it, is that you can easilyconvertyour pretrained PyTorch, TensorFlow, or JAX models to ONNX using🤗 Optimum. For more information, check out the fulldocumentation. ...
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...