text stringlengths 23 371k | source stringlengths 32 152 |
|---|---|
Create an Endpoint
After your first login, you will be directed to the [Endpoint creation page](https://ui.endpoints.huggingface.co/new). As an example, this guide will go through the steps to deploy [distilbert-base-uncased-finetuned-sst-2-english](https://huggingface.co/distilbert-base-uncased-finetuned-sst-2-engli... | huggingface/hf-endpoints-documentation/blob/main/docs/source/guides/create_endpoint.mdx |
Choosing a metric for your task
**So you've trained your model and want to see how well it’s doing on a dataset of your choice. Where do you start?**
There is no “one size fits all” approach to choosing an evaluation metric, but some good guidelines to keep in mind are:
## Categories of metrics
There are 3 high-le... | huggingface/evaluate/blob/main/docs/source/choosing_a_metric.mdx |
主要特点
让我们来介绍一下 Gradio 最受欢迎的一些功能！这里是 Gradio 的主要特点：
1. [添加示例输入](#example-inputs)
2. [传递自定义错误消息](#errors)
3. [添加描述内容](#descriptive-content)
4. [设置旗标](#flagging)
5. [预处理和后处理](#preprocessing-and-postprocessing)
6. [样式化演示](#styling)
7. [排队用户](#queuing)
8. [迭代输出](#iterative-outputs)
9. [进度条](#progress-bars)
10. [批处理函数](#bat... | gradio-app/gradio/blob/main/guides/cn/01_getting-started/02_key-features.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/perf_train_tpu_tf.md |
Gradio Demo: blocks_random_slider
```
!pip install -q gradio
```
```
import gradio as gr
def func(slider_1, slider_2):
return slider_1 * 5 + slider_2
with gr.Blocks() as demo:
slider = gr.Slider(minimum=-10.2, maximum=15, label="Random Slider (Static)", randomize=True)
slider_1 = gr.Slider(minimu... | gradio-app/gradio/blob/main/demo/blocks_random_slider/run.ipynb |
Git over SSH
You can access and write data in repositories on huggingface.co using SSH (Secure Shell Protocol). When you connect via SSH, you authenticate using a private key file on your local machine.
Some actions, such as pushing changes, or cloning private repositories, will require you to upload your SSH public... | huggingface/hub-docs/blob/main/docs/hub/security-git-ssh.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 a... | huggingface/transformers/blob/main/examples/research_projects/layoutlmv3/README.md |
State in Blocks
We covered [State in Interfaces](https://gradio.app/interface-state), this guide takes a look at state in Blocks, which works mostly the same.
## Global State
Global state in Blocks works the same as in Interface. Any variable created outside a function call is a reference shared between all users.
... | gradio-app/gradio/blob/main/guides/03_building-with-blocks/03_state-in-blocks.md |
如何使用地图组件绘制图表
Related spaces:
Tags: PLOTS, MAPS
## 简介
本指南介绍如何使用 Gradio 的 `Plot` 组件在地图上绘制地理数据。Gradio 的 `Plot` 组件可以与 Matplotlib、Bokeh 和 Plotly 一起使用。在本指南中，我们将使用 Plotly 进行操作。Plotly 可以让开发人员轻松创建各种地图来展示他们的地理数据。点击[这里](https://plotly.com/python/maps/)查看一些示例。
## 概述
我们将使用纽约市的 Airbnb 数据集，该数据集托管在 kaggle 上，点击[这里](https://www.ka... | gradio-app/gradio/blob/main/guides/cn/05_tabular-data-science-and-plots/plot-component-for-maps.md |
SE-ResNet
**SE ResNet** is a variant of a [ResNet](https://www.paperswithcode.com/method/resnet) that employs [squeeze-and-excitation blocks](https://paperswithcode.com/method/squeeze-and-excitation-block) to enable the network to perform dynamic channel-wise feature recalibration.
## How do I use this model on an i... | huggingface/pytorch-image-models/blob/main/hfdocs/source/models/se-resnet.mdx |
--
title: poseval
emoji: 🤗
colorFrom: blue
colorTo: red
sdk: gradio
sdk_version: 3.19.1
app_file: app.py
pinned: false
tags:
- evaluate
- metric
description: >-
The poseval metric can be used to evaluate POS taggers. Since seqeval does not work well with POS data
that is not in IOB format the poseval is an alter... | huggingface/evaluate/blob/main/metrics/poseval/README.md |
--
title: "Large Language Models: A New Moore's Law?"
thumbnail: /blog/assets/33_large_language_models/01_model_size.jpg
authors:
- user: juliensimon
---
# Large Language Models: A New Moore's Law?
A few days ago, Microsoft and NVIDIA [introduced](https://www.microsoft.com/en-us/research/blog/using-deepspeed-and-me... | huggingface/blog/blob/main/large-language-models.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/vision-text-dual-encoder.md |
hat is dynamic padding? In the "Batching Inputs together" video, we have seen that to be able to group inputs of different lengths in the same batch, we need to add padding tokens to all the short inputs until they are all of the same length. Here for instance, the longest sentence is the third one, and we need to add ... | huggingface/course/blob/main/subtitles/en/raw/chapter3/02d_dynamic-padding.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 to ... | huggingface/diffusers/blob/main/docs/source/en/api/pipelines/kandinsky3.md |
Datasets server - worker
> Workers that pre-compute and cache the response to /splits, /first-rows, /parquet, /info and /size.
## Configuration
Use environment variables to configure the workers. The prefix of each environment variable gives its scope.
### Uvicorn
The following environment variables are used to c... | huggingface/datasets-server/blob/main/services/worker/README.md |
Differences between Dataset and IterableDataset
There are two types of dataset objects, a [`Dataset`] and an [`IterableDataset`].
Whichever type of dataset you choose to use or create depends on the size of the dataset.
In general, an [`IterableDataset`] is ideal for big datasets (think hundreds of GBs!) due to its l... | huggingface/datasets/blob/main/docs/source/about_mapstyle_vs_iterable.mdx |
Q-Learning Recap [[q-learning-recap]]
*Q-Learning* **is the RL algorithm that** :
- Trains a *Q-function*, an **action-value function** encoded, in internal memory, by a *Q-table* **containing all the state-action pair values.**
- Given a state and action, our Q-function **will search its Q-table for the correspon... | huggingface/deep-rl-class/blob/main/units/en/unit2/q-learning-recap.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/transformers/blob/main/docs/source/en/tasks/zero_shot_object_detection.md |
Quiz
The best way to learn and [to avoid the illusion of competence](https://www.coursera.org/lecture/learning-how-to-learn/illusions-of-competence-BuFzf) **is to test yourself.** This will help you to find **where you need to reinforce your knowledge**.
### Q1: Which of the following interpretations of bias-varian... | huggingface/deep-rl-class/blob/main/units/en/unit6/quiz.mdx |
Access and read Logs
Hugging Face Endpoints provides access to the logs of your Endpoints through the UI in the “Logs” tab of your Endpoint.
You will have access to the build logs of your Image artifacts as well as access to the Container Logs during inference.
<img src="https://raw.githubusercontent.com/huggingfa... | huggingface/hf-endpoints-documentation/blob/main/docs/source/guides/logs.mdx |
Gradio Demo: examples_component
```
!pip install -q gradio
```
```
# Downloading files from the demo repo
import os
os.mkdir('images')
!wget -q -O images/cheetah1.jpg https://github.com/gradio-app/gradio/raw/main/demo/examples_component/images/cheetah1.jpg
!wget -q -O images/lion.jpg https://github.com/gradio-app... | gradio-app/gradio/blob/main/demo/examples_component/run.ipynb |
Additional Readings
These are **optional readings** if you want to go deeper.
## Introduction to Policy Optimization
- [Part 3: Intro to Policy Optimization - Spinning Up documentation](https://spinningup.openai.com/en/latest/spinningup/rl_intro3.html)
## Policy Gradient
- [https://johnwlambert.github.io/policy... | huggingface/deep-rl-class/blob/main/units/en/unit4/additional-readings.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/optimum/blob/main/docs/source/onnxruntime/package_reference/quantization.mdx |
Gradio Demo: number_component
```
!pip install -q gradio
```
```
import gradio as gr
with gr.Blocks() as demo:
gr.Number()
demo.launch()
```
| gradio-app/gradio/blob/main/demo/number_component/run.ipynb |
Gradio Demo: map_airbnb
### Display an interactive map of AirBnB locations with Plotly. Data is hosted on HuggingFace Datasets.
```
!pip install -q gradio plotly
```
```
import gradio as gr
import plotly.graph_objects as go
from datasets import load_dataset
dataset = load_dataset("gradio/NYC-Airbnb-Open... | gradio-app/gradio/blob/main/demo/map_airbnb/run.ipynb |
Res2Net
**Res2Net** is an image model that employs a variation on bottleneck residual blocks, [Res2Net Blocks](https://paperswithcode.com/method/res2net-block). 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 ... | huggingface/pytorch-image-models/blob/main/hfdocs/source/models/res2net.mdx |
ow to slice and dice a dataset. Most of the time, the data you work with won’t be perfectly prepared for training models. In this video we’ll explore various features that Datasets provides to clean up your datasets. The Datasets library provides several built-in methods that allow you to wrangle your data. In this vid... | huggingface/course/blob/main/subtitles/en/raw/chapter5/03a_slice-and-dice.md |
Gradio Demo: question-answering
```
!pip install -q gradio torch transformers
```
```
import gradio as gr
from transformers import AutoModelForQuestionAnswering, AutoTokenizer, pipeline
model_name = "deepset/roberta-base-squad2"
nlp = pipeline("question-answering", model=model_name, tokenizer=model_name)
conte... | gradio-app/gradio/blob/main/demo/question-answering/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/loaders/ip_adapter.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.
-->
# Configuration
[`PeftConfigMixin`] is the base configuration class for storing the adapter configuration of a [`PeftModel`], and [`PromptLearningCon... | huggingface/peft/blob/main/docs/source/package_reference/config.md |
End of preview. Expand in Data Studio
README.md exists but content is empty.
- Downloads last month
- 1,311