text stringlengths 23 371k | source stringlengths 32 152 |
|---|---|
Wide ResNet
**Wide Residual Networks** are a variant on [ResNets](https://paperswithcode.com/method/resnet) where we decrease depth and increase the width of residual networks. This is achieved through the use of [wide residual blocks](https://paperswithcode.com/method/wide-residual-block).
## How do I use this mode... | huggingface/pytorch-image-models/blob/main/docs/models/wide-resnet.md |
!--Copyright 2023 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed ... | huggingface/transformers/blob/main/docs/source/en/model_doc/persimmon.md |
Gradio Demo: blocks_webcam
```
!pip install -q gradio
```
```
import numpy as np
import gradio as gr
def snap(image):
return np.flipud(image)
demo = gr.Interface(snap, gr.Image(sources=["webcam"]), "image")
if __name__ == "__main__":
demo.launch()
```
| gradio-app/gradio/blob/main/demo/blocks_webcam/run.ipynb |
Gradio Demo: on_listener_live
```
!pip install -q gradio
```
```
import gradio as gr
with gr.Blocks() as demo:
with gr.Row():
num1 = gr.Slider(1, 10)
num2 = gr.Slider(1, 10)
num3 = gr.Slider(1, 10)
output = gr.Number(label="Sum")
@gr.on(inputs=[num1, num2, num3], outputs=outp... | gradio-app/gradio/blob/main/demo/on_listener_live/run.ipynb |
!--Copyright 2023 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed ... | huggingface/diffusers/blob/main/docs/source/en/api/schedulers/score_sde_ve.md |
What to do when you get an error[[what-to-do-when-you-get-an-error]]
<CourseFloatingBanner chapter={8}
classNames="absolute z-10 right-0 top-0"
notebooks={[
{label: "Google Colab", value: "https://colab.research.google.com/github/huggingface/notebooks/blob/master/course/en/chapter8/section2.ipynb"},
{labe... | huggingface/course/blob/main/chapters/en/chapter8/2.mdx |
*TEMPLATE**
=====================================
*search & replace the following keywords, e.g.:*
`:%s/\[name of model\]/brand_new_bert/g`
-[lowercase name of model] # e.g. brand_new_bert
-[camelcase name of model] # e.g. BrandNewBert
-[name of mentor] # e.g. [Peter](https://github.com/peter)
-[link to origina... | huggingface/transformers/blob/main/templates/adding_a_new_model/ADD_NEW_MODEL_PROPOSAL_TEMPLATE.md |
--
title: "Machine Learning Experts - Lewis Tunstall"
thumbnail: /blog/assets/60_lewis_tunstall_interview/thumbnail.png
authors:
- user: britneymuller
---
# Machine Learning Experts - Lewis Tunstall
## 🤗 Welcome to Machine Learning Experts - Lewis Tunstall
Hey friends! Welcome to Machine Learning Experts. I'm you... | huggingface/blog/blob/main/lewis-tunstall-interview.md |
--
title: 'Welcome fastai to the Hugging Face Hub'
thumbnail: /blog/assets/64_fastai/fastai_hf_blog.png
authors:
- user: espejelomar
---
# Welcome fastai to the Hugging Face Hub
## Making neural nets uncool again... and sharing them
<a target="_blank" href="https://colab.research.google.com/github/huggingface/blog/... | huggingface/blog/blob/main/fastai.md |
!--Copyright 2022 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed ... | huggingface/optimum/blob/main/docs/source/utils/dummy_input_generators.mdx |
!--Copyright 2023 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed ... | huggingface/peft/blob/main/docs/source/package_reference/auto_class.md |
--
title: "StackLLaMA: A hands-on guide to train LLaMA with RLHF"
thumbnail: /blog/assets/138_stackllama/thumbnail.png
authors:
- user: edbeeching
- user: kashif
- user: ybelkada
- user: lewtun
- user: lvwerra
- user: nazneen
- user: natolambert
---
# StackLLaMA: A hands-on guide to train LLaMA with RLHF
Models suc... | huggingface/blog/blob/main/stackllama.md |
Cache management
When you download a dataset, the processing scripts and data are stored locally on your computer. The cache allows 🤗 Datasets to avoid re-downloading or processing the entire dataset every time you use it.
This guide will show you how to:
- Change the cache directory.
- Control how a dataset is l... | huggingface/datasets/blob/main/docs/source/cache.mdx |
!---
Copyright 2020 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or a... | huggingface/transformers/blob/main/examples/research_projects/mlm_wwm/README.md |
ZenML on Spaces
[ZenML](https://github.com/zenml-io/zenml) is an extensible, open-source MLOps framework for creating portable, production-ready MLOps pipelines. It's built for Data Scientists, ML Engineers, and MLOps Developers to collaborate as they develop to production.
ZenML offers a simple and flexible syntax,... | huggingface/hub-docs/blob/main/docs/hub/spaces-sdks-docker-zenml.md |
主题 Theming
Tags: THEMES
## 介绍
Gradio 具有内置的主题引擎，可让您自定义应用的外观和感觉。您可以选择各种主题，或者创建自己的主题。要这样做，请将 `theme=` kwarg 传递给 `Blocks` 或 `Interface` 构造函数。例如：
```python
with gr.Blocks(theme=gr.themes.Soft()) as demo:
...
```
<div class="wrapper">
<iframe
src="https://gradio-theme-soft.hf.space?__theme=light"
frameborder="0"
... | gradio-app/gradio/blob/main/guides/cn/07_other-tutorials/theming-guide.md |
--
title: Deploy LLMs with Hugging Face Inference Endpoints
thumbnail: /blog/assets/155_inference_endpoints_llm/thumbnail.jpg
authors:
- user: philschmid
---
# Deploy LLMs with Hugging Face Inference Endpoints
Open-source LLMs like [Falcon](https://huggingface.co/tiiuae/falcon-40b), [(Open-)LLaMA](https://huggingfa... | huggingface/blog/blob/main/inference-endpoints-llm.md |
!--Copyright 2023 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed ... | huggingface/peft/blob/main/docs/source/package_reference/loha.md |
Quicktour
Let's have a quick look at the 🤗 Tokenizers library features. The
library provides an implementation of today's most used tokenizers that
is both easy to use and blazing fast.
## Build a tokenizer from scratch
To illustrate how fast the 🤗 Tokenizers library is, let's train a new
tokenizer on [wikitext-1... | huggingface/tokenizers/blob/main/docs/source-doc-builder/quicktour.mdx |
!---
Copyright 2022 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or a... | huggingface/optimum/blob/main/examples/onnxruntime/training/translation/README.md |
Res2NeXt
**Res2NeXt** is an image model that employs a variation on [ResNeXt](https://paperswithcode.com/method/resnext) bottleneck residual blocks. The motivation is to be able to represent features at multiple scales. This is achieved through a novel building block for CNNs that constructs hierarchical residual-lik... | huggingface/pytorch-image-models/blob/main/docs/models/res2next.md |
his demo shows how you can build an interactive dashboard with gradio. Click on a python library on the left hand side and then on the right hand side click on the metric you'd like to see plot over time. Data is pulled from HuggingFace Hub datasets. | gradio-app/gradio/blob/main/demo/dashboard/DESCRIPTION.md |
!--Copyright 2023 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed ... | huggingface/diffusers/blob/main/docs/source/en/optimization/tome.md |
--
title: Word Length
emoji: 🤗
colorFrom: green
colorTo: purple
sdk: gradio
sdk_version: 3.0.2
app_file: app.py
pinned: false
tags:
- evaluate
- measurement
description: >-
Returns the average length (in terms of the number of words) of the input data.
---
# Measurement Card for Word Length
## Measurement Descrip... | huggingface/evaluate/blob/main/measurements/word_length/README.md |
--
title: "2D Asset Generation: AI for Game Development #4"
thumbnail: /blog/assets/124_ml-for-games/thumbnail4.png
authors:
- user: dylanebert
---
# 2D Asset Generation: AI for Game Development #4
**Welcome to AI for Game Development!** In this series, we'll be using AI tools to create a fully functional farming g... | huggingface/blog/blob/main/ml-for-games-4.md |
!--Copyright 2020 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed ... | huggingface/transformers/blob/main/docs/source/en/model_doc/marian.md |
--
# For reference on dataset card metadata, see the spec: https://github.com/huggingface/hub-docs/blob/main/datasetcard.md?plain=1
# Doc / guide: https://huggingface.co/docs/hub/datasets-cards
{{ card_data }}
---
# Dataset Card for {{ pretty_name | default("Dataset Name", true) }}
<!-- Provide a quick summary of the... | huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md |
!--Copyright 2022 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed ... | huggingface/transformers/blob/main/docs/source/en/model_doc/wav2vec2-conformer.md |
--
title: "Supercharged Customer Service with Machine Learning"
thumbnail: /blog/assets/61_supercharged_customer_service_with_nlp/thumbnail.png
authors:
- user: patrickvonplaten
---
# Supercharged Customer Service with Machine Learning
<a target="_blank" href="https://github.com/patrickvonplaten/notebooks/blob/maste... | huggingface/blog/blob/main/supercharge-customer-service-with-machine-learning.md |
!--Copyright 2022 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed ... | huggingface/transformers/blob/main/docs/source/en/model_doc/tapex.md |
!--Copyright 2023 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed ... | huggingface/transformers/blob/main/docs/source/en/tasks/video_classification.md |
!--Copyright 2020 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed ... | huggingface/transformers/blob/main/docs/source/en/model_doc/openai-gpt.md |
RegNetY
**RegNetY** is a convolutional network design space with simple, regular models with parameters: depth \\( d \\), initial width \\( w\_{0} > 0 \\), and slope \\( w\_{a} > 0 \\), and generates a different block width \\( u\_{j} \\) for each block \\( j < d \\). The key restriction for the RegNet types of model... | huggingface/pytorch-image-models/blob/main/hfdocs/source/models/regnety.mdx |
Archived Changes
### Nov 22, 2021
* A number of updated weights anew new model defs
* `eca_halonext26ts` - 79.5 @ 256
* `resnet50_gn` (new) - 80.1 @ 224, 81.3 @ 288
* `resnet50` - 80.7 @ 224, 80.9 @ 288 (trained at 176, not replacing current a1 weights as default since these don't scale as well to higher res, [... | huggingface/pytorch-image-models/blob/main/docs/archived_changes.md |
!---
Copyright 2023 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or a... | huggingface/peft/blob/main/docs/README.md |
!---
Copyright 2020 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or a... | huggingface/transformers/blob/main/README_zh-hans.md |
!--Copyright 2023 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed ... | huggingface/transformers/blob/main/docs/source/en/quantization.md |
!--Copyright 2023 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed ... | huggingface/diffusers/blob/main/docs/source/en/api/pipelines/pix2pix.md |
!--Copyright 2023 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed ... | huggingface/transformers/blob/main/docs/source/en/model_doc/vits.md |
hat is transfer learning? The idea of Transfer Learning is to leverage the knowledge acquired by a model trained with lots of data on another task. The model A will be trained specifically for task A. Now, let's say you want to train a model B for a different task. One option would be to train the model from scratch. T... | huggingface/course/blob/main/subtitles/en/raw/chapter1/04b_what-is-transfer-learning.md |
gradio
## 4.11.0
### Features
- [#6842](https://github.com/gradio-app/gradio/pull/6842) [`846d52d`](https://github.com/gradio-app/gradio/commit/846d52d1c92d429077382ce494eea27fd062d9f6) - Fix md highlight. Thanks [@pngwn](https://github.com/pngwn)!
- [#6831](https://github.com/gradio-app/gradio/pull/6831) [`f3abde... | gradio-app/gradio/blob/main/CHANGELOG.md |
@gradio/statustracker
## 0.4.3
### Features
- [#6814](https://github.com/gradio-app/gradio/pull/6814) [`828fb9e`](https://github.com/gradio-app/gradio/commit/828fb9e6ce15b6ea08318675a2361117596a1b5d) - Refactor queue so that there are separate queues for each concurrency id. Thanks [@aliabid94](https://github.com/... | gradio-app/gradio/blob/main/js/statustracker/CHANGELOG.md |
Inference pipelines with the ONNX Runtime accelerator
The [`~pipelines.pipeline`] function makes it simple to use models from the [Model Hub](https://huggingface.co/models)
for accelerated inference on a variety of tasks such as text classification, question answering and image classification.
<Tip>
You can also us... | huggingface/optimum/blob/main/docs/source/onnxruntime/usage_guides/pipelines.mdx |
create-svelte
Everything you need to build a Svelte project, powered by [`create-svelte`](https://github.com/sveltejs/kit/tree/master/packages/create-svelte).
## Creating a project
If you're seeing this, you've probably already done this step. Congrats!
```bash
# create a new project in the current directory
npm c... | gradio-app/gradio/blob/main/js/_spaces-test/README.md |
--
title: "Accelerating Document AI"
thumbnail: /blog/assets/112_document-ai/thumbnail.png
authors:
- user: rajistics
- user: nielsr
- user: florentgbelidji
- user: nbroad
---
# Accelerating Document AI
Enterprises are full of documents containing knowledge that isn't accessible by digital workflows. These documen... | huggingface/blog/blob/main/document-ai.md |
Using Spaces for Organization Cards
Organization cards are a way to describe your organization to other users. They take the form of a `README.md` static file, inside a Space repo named `README`.
Please read more in the [dedicated doc section](./organizations-cards).
| huggingface/hub-docs/blob/main/docs/hub/spaces-organization-cards.md |
!--Copyright 2020 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed ... | huggingface/transformers/blob/main/docs/source/en/model_doc/xlm-roberta.md |
ow to batch inputs together? In this video, we will see how to batch input sequences together. In general, the sentences we want to pass through our model won't all have the same lengths. Here we are using the model we saw in the sentiment analysis pipeline and want to classify two sentences. When tokenizing them and m... | huggingface/course/blob/main/subtitles/en/raw/chapter2/05_batching-inputs-tf.md |
!--⚠️ Note that this file is in Markdown but contain specific syntax for our doc-builder (similar to MDX) that may not be
rendered properly in your Markdown viewer.
-->
# Upload files to the Hub
Sharing your files and work is an important aspect of the Hub. The `huggingface_hub` offers several options for uploading y... | huggingface/huggingface_hub/blob/main/docs/source/en/guides/upload.md |
--
title: "How we sped up transformer inference 100x for 🤗 API customers"
thumbnail: /blog/assets/09_accelerated_inference/thumbnail.png
---
# How we sped up transformer inference 100x for 🤗 API customers
🤗 Transformers has become the default library for data scientists all around the world to explore state of th... | huggingface/blog/blob/main/accelerated-inference.md |
--
title: "Introducing HuggingFace blog for Chinese speakers: Fostering Collaboration with the Chinese AI community"
thumbnail: /blog/assets/chinese-language-blog/thumbnail.png
forceLinkToOtherLanguage: on
authors:
- user: xianbao
- user: adinayakefu
- user: chenglu
guest: true
---
# Introducing HuggingFace blog for... | huggingface/blog/blob/main/chinese-language-blog.md |
--
title: "How to generate text: using different decoding methods for language generation with Transformers"
thumbnail: /blog/assets/02_how-to-generate/thumbnail.png
authors:
- user: patrickvonplaten
---
# How to generate text: using different decoding methods for language generation with Transformers
<a target="_bl... | huggingface/blog/blob/main/how-to-generate.md |
imple image classification in Pytorch with Gradio's Image input and Label output. | gradio-app/gradio/blob/main/demo/image_classification/DESCRIPTION.md |
--
title: "Accelerate your models with 🤗 Optimum Intel and OpenVINO"
thumbnail: /blog/assets/113_openvino/thumbnail.png
authors:
- user: echarlaix
- user: juliensimon
---
# Accelerate your models with 🤗 Optimum Intel and OpenVINO
Last July, we [announced](https://huggin... | huggingface/blog/blob/main/openvino.md |
upercharge your Pytorch training loop with Hugging Face Accelerate. There are multiple setups on which you can run your training: it could be on CPU, GPUs, TPUs. Distributed on one machine with several devices, or several machines (often called nodes) each with multiple devices. On top of that there are new tweaks to m... | huggingface/course/blob/main/subtitles/en/raw/chapter3/04b_accelerate.md |
!--Copyright 2021 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the
License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed ... | huggingface/transformers/blob/main/docs/source/en/model_doc/imagegpt.md |
(Tensorflow) EfficientNet CondConv
**EfficientNet** is a convolutional neural network architecture and scaling method that uniformly scales all dimensions of depth/width/resolution using a *compound coefficient*. Unlike conventional practice that arbitrary scales these factors, the EfficientNet scaling method unifor... | huggingface/pytorch-image-models/blob/main/docs/models/tf-efficientnet-condconv.md |
!--Copyright 2023 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed ... | huggingface/diffusers/blob/main/docs/source/en/tutorials/autopipeline.md |
Quantization
## AutoGPTQ Integration
🤗 Optimum collaborated with [AutoGPTQ library](https://github.com/PanQiWei/AutoGPTQ) to provide a simple API that apply GPTQ quantization on language models. With GPTQ quantization, you can quantize your favorite language model to 8, 4, 3 or even 2 bits. This comes without a big... | huggingface/optimum/blob/main/docs/source/llm_quantization/usage_guides/quantization.mdx |
--
title: Datasets Server Admin UI
emoji: 📊
colorFrom: gray
colorTo: purple
sdk: gradio
sdk_version: 3.28.1
python_version: 3.9.18
app_file: app.py
pinned: false
---
## Datasets-server Admin UI
Deployed at (internal) https://huggingface.co/spaces/datasets-maintainers/datasets-server-admin-ui
### Setup:
```
poetry ... | huggingface/datasets-server/blob/main/front/admin_ui/README.md |
--
title: Guiding Text Generation with Constrained Beam Search in 🤗 Transformers
thumbnail: /blog/assets/53_constrained_beam_search/thumbnail.png
authors:
- user: cwkeam
guest: true
---
# Guiding Text Generation with Constrained Beam Search in 🤗 Transformers
<a target="_blank" href="https://colab.research.google... | huggingface/blog/blob/main/constrained-beam-search.md |
--
title: "Making a web app generator with open ML models"
thumbnail: /blog/assets/153_text_to_webapp/thumbnail.jpg
authors:
- user: jbilcke-hf
---
# Making a web app generator with open ML models
As more code generation models become publicly available, it is now possible to do text-to-web and even text-to-app in w... | huggingface/blog/blob/main/text-to-webapp.md |
Repository Settings
## Private repositories
You can choose a repository's visibility when you create it, and any repository that you own can have its visibility toggled between *public* and *private* in the **Settings** tab. Unless your repository is owned by an [organization](./organizations), you are the only use... | huggingface/hub-docs/blob/main/docs/hub/repositories-settings.md |
!--Copyright 2023 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed ... | huggingface/transformers/blob/main/docs/source/en/model_doc/pop2piano.md |
Glossary
This is a community-created glossary. Contributions are welcome!
- **Deep Q-Learning:** A value-based deep reinforcement learning algorithm that uses a deep neural network to approximate Q-values for actions in a given state. The goal of Deep Q-learning is to find the optimal policy that maximizes the expe... | huggingface/deep-rl-class/blob/main/units/en/unit4/glossary.mdx |
`@gradio/atoms`
```html
<script lang="ts">
import { Block, BlockTitle, BlockLabel, IconButton, Empty, Info, ShareButton, UploadText} from "@gradio/atoms";
</script>
```
Block:
```javascript
export let height: number | undefined = undefined;
export let width: number | undefined = undefined;
export let elem_id = "... | gradio-app/gradio/blob/main/js/atoms/README.md |
his text generation demo works like autocomplete. There's only one textbox and it's used for both the input and the output. The demo loads the model as an interface, and uses that interface as an API. It then uses blocks to create the UI. All of this is done in less than 10 lines of code. | gradio-app/gradio/blob/main/demo/autocomplete/DESCRIPTION.md |
!---
Copyright 2020 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or a... | huggingface/huggingface_hub/blob/main/CONTRIBUTING.md |
!--Copyright 2023 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed ... | huggingface/diffusers/blob/main/docs/source/en/api/schedulers/repaint.md |
!--Copyright 2023 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed ... | huggingface/diffusers/blob/main/docs/source/en/optimization/open_vino.md |
--
{{ card_data }}
---
<!-- This model card has been generated automatically according to the information the training script had access to. You
should probably proofread and complete it, then remove this comment. -->
# {{ model_name | default("Diffusion Model") }}
## Model description
This diffusion model is train... | huggingface/diffusers/blob/main/src/diffusers/utils/model_card_template.md |
Conclusion [[conclusion]]
Congrats on finishing this unit! **That was the biggest one**, and there was a lot of information. And congrats on finishing the tutorial. You’ve just trained your first Deep RL agents and shared them with the community! 🥳
It's **normal if you still feel confused by some of these elements*... | huggingface/deep-rl-class/blob/main/units/en/unit1/conclusion.mdx |
!--Copyright 2023 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed ... | huggingface/diffusers/blob/main/docs/source/en/api/pipelines/attend_and_excite.md |
--
title: 'Liftoff! How to get started with your first ML project 🚀'
thumbnail: /blog/assets/84_first_ml_project/thumbnail.png
authors:
- user: nimaboscarino
---
# Liftoff! How to get started with your first ML project 🚀
People who are new to the Machine Learning world often run into two recurring stumbling blocks... | huggingface/blog/blob/main/your-first-ml-project.md |
Gradio Demo: sound_alert
```
!pip install -q gradio
```
```
# Downloading files from the demo repo
import os
!wget -q https://github.com/gradio-app/gradio/raw/main/demo/sound_alert/beep.mp3
```
```
import time
import gradio as gr
js_function = "() => {new Audio('file=beep.mp3').play();}"
def task(x):
tim... | gradio-app/gradio/blob/main/demo/sound_alert/run.ipynb |
Gradio Demo: theme_extended_step_2
```
!pip install -q gradio
```
```
import gradio as gr
import time
with gr.Blocks(theme=gr.themes.Default(spacing_size="sm", radius_size="none")) as demo:
textbox = gr.Textbox(label="Name")
slider = gr.Slider(label="Count", minimum=0, maximum=100, step=1)
with gr.Ro... | gradio-app/gradio/blob/main/demo/theme_extended_step_2/run.ipynb |
--
title: "Fit More and Train Faster With ZeRO via DeepSpeed and FairScale"
thumbnail: /blog/assets/11_zero_deepspeed_fairscale/zero-partitioning.png
authors:
- user: stas
guest: true
---
# Fit More and Train Faster With ZeRO via DeepSpeed and FairScale
##### A guest blog post by Hugging Face fellow Stas Bekman
... | huggingface/blog/blob/main/zero-deepspeed-fairscale.md |
Building your first demo[[building-your-first-demo]]
<CourseFloatingBanner chapter={9}
classNames="absolute z-10 right-0 top-0"
notebooks={[
{label: "Google Colab", value: "https://colab.research.google.com/github/huggingface/notebooks/blob/master/course/en/chapter9/section2.ipynb"},
{label: "Aws Studio",... | huggingface/course/blob/main/chapters/en/chapter9/2.mdx |
--
# Example metadata to be added to a dataset card.
# Full dataset card template at https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md
language:
- {lang_0} # Example: fr
- {lang_1} # Example: en
license: {license} # Example: apache-2.0 or any license fro... | huggingface/hub-docs/blob/main/datasetcard.md |
SWSL ResNeXt
A **ResNeXt** repeats a [building block](https://paperswithcode.com/method/resnext-block) that aggregates a set of transformations with the same topology. Compared to a [ResNet](https://paperswithcode.com/method/resnet), it exposes a new dimension, *cardinality* (the size of the set of transformations) ... | huggingface/pytorch-image-models/blob/main/docs/models/swsl-resnext.md |
实时语音识别
Related spaces: https://huggingface.co/spaces/abidlabs/streaming-asr-paused, https://huggingface.co/spaces/abidlabs/full-context-asr
Tags: ASR, SPEECH, STREAMING
## 介绍
自动语音识别（ASR）是机器学习中非常重要且蓬勃发展的领域，它将口语转换为文本。ASR 算法几乎在每部智能手机上都有运行，并越来越多地嵌入到专业工作流程中，例如护士和医生的数字助手。由于 ASR 算法是直接面向客户和最终用户设计的，因此在面对各种语音模式（不同的口音、音调和背景音频... | gradio-app/gradio/blob/main/guides/cn/07_other-tutorials/real-time-speech-recognition.md |
Repository limitations and recommendations
There are some limitations to be aware of when dealing with a large amount of data in your repo. Given the time it takes to stream the data,
getting an upload/push to fail at the end of the process or encountering a degraded experience, be it on hf.co or when working locally... | huggingface/hub-docs/blob/main/docs/hub/repositories-recommendations.md |
Working with Keras and Tensorflow
Evaluate can be easily intergrated into your Keras and Tensorflow workflow. We'll demonstrate two ways of incorporating Evaluate into model training, using the Fashion MNIST example dataset. We'll train a standard classifier to predict two classes from this dataset, and show how to... | huggingface/evaluate/blob/main/docs/source/keras_integrations.md |
!--Copyright 2022 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed ... | huggingface/transformers/blob/main/docs/source/en/model_doc/deformable_detr.md |
--
title: "Ethics and Society Newsletter #1"
thumbnail: /blog/assets/103_ethics-soc-1/thumbnail.png
authors:
- user: meg
---
# Ethics and Society Newsletter #1
Hello, world!
Originating as an open-source company, Hugging Face was founded on some key ethical values in tech: _collaboration_, _responsibility_, and _... | huggingface/blog/blob/main/ethics-soc-1.md |
### Fine-tuning BERT on SQuAD1.0 with relative position embeddings
The following examples show how to fine-tune BERT models with different relative position embeddings. The BERT model
`bert-base-uncased` was pretrained with default absolute position embeddings. We provide the following pretrained
models which were p... | huggingface/transformers/blob/main/examples/legacy/question-answering/README.md |
Gradio Demo: sine_curve
```
!pip install -q gradio plotly
```
```
import math
import gradio as gr
import plotly.express as px
import numpy as np
plot_end = 2 * math.pi
def get_plot(period=1):
global plot_end
x = np.arange(plot_end - 2 * math.pi, plot_end, 0.02)
y = np.sin(2*math.pi*period * x)
... | gradio-app/gradio/blob/main/demo/sine_curve/run.ipynb |
his text generation demo takes in input text and returns generated text. It uses the Transformers library to set up the model and has two examples. | gradio-app/gradio/blob/main/demo/text_generation/DESCRIPTION.md |
!--Copyright 2022 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed ... | huggingface/transformers/blob/main/docs/source/en/model_doc/deta.md |
# Contributor Covenant Code of Conduct
## Our Pledge
We as members, contributors, and leaders pledge to make participation in our
community a harassment-free experience for everyone, regardless of age, body
size, visible or invisible disability, ethnicity, sex characteristics, gender
identity and expression, level of... | huggingface/huggingface_hub/blob/main/CODE_OF_CONDUCT.md |
Metric Card for MSE
## Metric Description
Mean Squared Error(MSE) represents the average of the squares of errors -- i.e. the average squared difference between the estimated values and the actual values.
 is a parallel and distributed computing library that scales the existing Python and PyData ecosystem.
Since it uses [fsspec](https://filesystem-spec.readthedocs.io) to read and write remote data, you can use the Hugging Face paths ([`hf://`](https://huggingface.co/docs/huggin... | huggingface/hub-docs/blob/main/docs/hub/datasets-dask.md |
!--Copyright 2022 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed ... | huggingface/optimum/blob/main/docs/source/onnxruntime/package_reference/modeling_ort.mdx |
!--Copyright 2022 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed ... | huggingface/simulate/blob/main/docs/source/api/sensors.mdx |
Gradio Demo: color_generator
```
!pip install -q gradio opencv-python numpy
```
```
import gradio as gr
import cv2
import numpy as np
import random
# Convert decimal color to hexadecimal color
def RGB_to_Hex(rgb):
color = "#"
for i in rgb:
num = int(i)
color += str(hex(num))[-2:].replace(... | gradio-app/gradio/blob/main/demo/color_generator/run.ipynb |
Natural Language Processing[[natural-language-processing]]
<CourseFloatingBanner
chapter={1}
classNames="absolute z-10 right-0 top-0"
/>
Before jumping into Transformer models, let's do a quick overview of what natural language processing is and why we care about it.
## What is NLP?[[what-is-nlp]]
NLP is a... | huggingface/course/blob/main/chapters/en/chapter1/2.mdx |
!--Copyright 2020 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed ... | huggingface/transformers/blob/main/docs/source/en/model_doc/reformer.md |
Access control in organizations
<Tip>
You can set up [Single Sign-On (SSO)](./security-sso) to be able to map access control rules from your organization's Identity Provider.
</Tip>
Members of organizations can have four different roles: `read`, `contributor`, `write` or `admin`:
- `read`: read-only access to the... | huggingface/hub-docs/blob/main/docs/hub/organizations-security.md |
!--⚠️ Note that this file is in Markdown but contain specific syntax for our doc-builder (similar to MDX) that may not be
rendered properly in your Markdown viewer.
-->
# Command Line Interface (CLI)
The `huggingface_hub` Python package comes with a built-in CLI called `huggingface-cli`. This tool allows you to inter... | huggingface/huggingface_hub/blob/main/docs/source/en/guides/cli.md |
!--Copyright 2022 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed ... | huggingface/transformers/blob/main/templates/adding_a_new_model/cookiecutter-template-{{cookiecutter.modelname}}/{{cookiecutter.lowercase_modelname}}.md |
Subsets and Splits
Transformers Source Texts
This query retrieves specific examples from the dataset related to transformers, providing a limited view of the data with basic filtering.