So, we decided to develop and release our own open-source dataset that the community can use to fine-tune models. IntegratingArgilla(now part of Hugging Face) as a data collection tool, we ran a two-part study on Prolific to capture this data andreleased it on HuggingFace. Here’...
模型源。描述源模型所属社区或组织,如 ModelScope,HuggingFace 等。 ModelScope Domain string 否 领域。描述模型解决问题所属领域。例如:nlp(自然语言处理)、cv(计算机视觉)等。 nlp Task string 否 任务。描述模型解决的具体问题。例如:text-classification(文本分类)等。 text-classification ModelDoc string 否 模...
The datasets are provided under the original terms that Microsoft received such datasets. See below for more information about each dataset. The datasets used in this project are licensed as follows: Clean speech: https://librivox.org/; License:https://librivox.org/pages/public-domain/ ...
The dataset should be in a .jsonl format containing a collection of JSON objects. Each JSON object must include the field task name, which is a string identifier for the task the data example corresponds to. Each should also include one or more fields corresponding to different sections of t...
To illustrate the non-SQL related portions of this post, I'll be using a ready-to-use, pretrained model that I found on HuggingFace. This model is calledgnokit/ddpm-butterflies-64. It's a DDPM model, with the UNet architecture as a backbone, trained to perform denoising in 1000 steps ...
You need to provide a HuggingFace token in a .env file HF_TOKEN=yourtoken Usage The main script speech_dataset_generator/main.py accepts command-line arguments for specifying the input file, output directory, time range, and types of enhancers. You can process a single file or an entire ...
To this end, we introduce an open-source Python library and no-code interface called the [🤗 Data Measurements Tool](https://huggingface.co/spaces/huggingface/DataMeasurementsTool), using our [Dataset](https://huggingface.co/datasets) and [Spaces](https://huggingface.co/spaces/launch) Hubs ...
Let's provide a smaller dataset here in the example. examples/autoencoderkl/README.md Outdated ## Training on ImageNet ```bash accelerate launch --multi_gpu --num_processes 4 --mixed_precision bf16 train_autoencoderkl.py \ Member sayakpaul Jan 21, 2025 Let's keep it for a si...
gr.Interface(fn=classify_image, inputs=image, outputs=label, theme="huggingface").launch()Here are the themes we currently support: "default", "huggingface", "grass", "peach", and the dark themes corresponding to each of these: "darkdefault", "darkhuggingface", "darkgrass", "darkpeach"...
To save and load sessions, you will first need to set your Hugging Face access token using huggingface-cli login. Once set, you can save your session by clicking on the Save Session button in the Session Settings. This will create a dataset repo on the Hub and save your settings and ...