Hugging Face ️ 计算机视觉 只是因为在人群中多看了你一眼，我们在计算机视觉上的投入只是从 21 年的这个 PR 开始 (huggingface/transformers#10950)。但自去年开始，我们开始投入大量的精力投入到计算机视觉上。现如今，Hugging Face Hub 上已经有 8 个核心的计算机视觉任务、3000 多个模型和 100 多个数据集了...
Transformers 大更新 Transformer 4.25 引入了 ImageProcessor,让用户能够利用更为强大的图像处理能力。同时,部分 API 也更加统一,参数配置项也改为使用 dict,更直观也更方便。 示例地址:github.com/huggingface/ 提名道德意识良好的 Space 应用 机器学习技术在今天的社会中发挥着越来越重要的作用,可以应用于各种领域,...
Transformer 4.25 引入了 ImageProcessor,让用户能够利用更为强大的图像处理能力。同时,部分 API 也更加统一,参数配置项也改为使用 dict,更直观也更方便。 示例地址:https://github.com/huggingface/transformers/tree/main/examples/pytorch/image-classification 提名道德意识良好的 Space 应用 机器学习技术在今天的社会中...
The following code defines a FastAPI web application that uses the transformers library to generate text based on user input. The app itself is a simple single-endpoint API. The /generate endpoint takes in text and uses a transformers pipeline to generate a completion, which it then returns as...
However, when employing the typical inference approach (using the transformers library) it takes around 30 seconds. Integration with OpenAI using OpenAI Chat Completion From version 1.4.0 onwards, TGI has introduced an API that is compatible with OpenAI's Chat Completion API. This new Messages API...
Transformers 大更新 Transformer 4.25 引入了 ImageProcessor,让用户能够利用更为强大的图像处理能力。同时,部分 API 也更加统一,参数配置项也改为使用dict,更直观也更方便。 示例地址:https://github.com/huggingface/transformers/tree/main/examples/pytorch/image-classification ...
If instead of resorting to Hugging Face datasets hub you want to use your own dataset, the Datasets library also allows you to, by using the same 'load_dataset()' function with two arguments: the file format of the dataset to be loaded (such as "csv", "text", or "json") and the...
For multi-GPU, the simplifying power of the library Accelerate really starts to show, because the same code as above can be run. Then, to invoke the script for multi-GPU, do: pipinstallaccelerate datasets transformers scipy sklearn Copy ...
In this demo, we will use the Hugging Faces transformers and datasets library with Amazon SageMaker to fine-tune a pre-trained transformer on binary text classification. In particular, we will use the pre-trained DistilBERT model with the IMDB dataset. We will then deploy the resulting model ...
accelerate-library.md accelerate-transformers-with-inferentia2.md accelerated-inference.md accelerating-pytorch.md ai-residency.md aivsai.md ambassadors.md annotated-diffusion.md arxiv.md asr-chunking.md assisted-generation.md audio-datasets.md autonlp-prodigy.md autotrain-image-classification...