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README: install transformers from conda-forge channel (#28313)

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Switch to the conda-forge channel for transformer installation,
as the huggingface channel does not offer the latest version.

Fixes #28248
This commit is contained in:
Kevin Herro
2024-01-04 09:36:16 -08:00
committed by GitHub
parent 35e9d2b223
commit 5d36025ca1
19 changed files with 101 additions and 101 deletions
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8
docs/source/de/installation.md
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@@ -139,10 +139,10 @@ Ihre Python-Umgebung wird beim nächsten Ausführen die `main`-Version von 🤗
## Installation mit conda
Installation von dem conda Kanal `huggingface`:
Installation von dem conda Kanal `conda-forge`:
```bash
conda install -c huggingface transformers
conda install conda-forge::transformers
```
## Cache Einrichtung
@@ -157,7 +157,7 @@ Vorgefertigte Modelle werden heruntergeladen und lokal zwischengespeichert unter
<Tip>
Transformers verwendet die Shell-Umgebungsvariablen `PYTORCH_TRANSFORMERS_CACHE` oder `PYTORCH_PRETRAINED_BERT_CACHE`, wenn Sie von einer früheren Iteration dieser Bibliothek kommen und diese Umgebungsvariablen gesetzt haben, sofern Sie nicht die Shell-Umgebungsvariable `TRANSFORMERS_CACHE` angeben.
</Tip>
## Offline Modus
@@ -246,5 +246,5 @@ Sobald Ihre Datei heruntergeladen und lokal zwischengespeichert ist, geben Sie d
<Tip>
Weitere Informationen zum Herunterladen von Dateien, die auf dem Hub gespeichert sind, finden Sie im Abschnitt [Wie man Dateien vom Hub herunterlädt] (https://huggingface.co/docs/hub/how-to-downstream).
</Tip>

6
docs/source/en/installation.md
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@@ -70,7 +70,7 @@ pip install 'transformers[tf-cpu]'
<Tip warning={true}>
M1 / ARM Users
You will need to install the following before installing TensorFLow 2.0
```
brew install cmake
@@ -147,10 +147,10 @@ Your Python environment will find the `main` version of 🤗 Transformers on the
## Install with conda
Install from the conda channel `huggingface`:
Install from the conda channel `conda-forge`:
```bash
conda install -c huggingface transformers
conda install conda-forge::transformers
```
## Cache setup

10
docs/source/es/installation.md
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@@ -131,10 +131,10 @@ El entorno de Python que creaste para la instalación de 🤗 Transformers encon
## Instalación con conda
Puedes instalar 🤗 Transformers desde el canal de conda `huggingface` con el siguiente comando:
Puedes instalar 🤗 Transformers desde el canal de conda `conda-forge` con el siguiente comando:
```bash
conda install -c huggingface transformers
conda install conda-forge::transformers
```
## Configuración de Caché
@@ -148,7 +148,7 @@ Los modelos preentrenados se descargan y almacenan en caché localmente en: `~/.
<Tip>
🤗 Transformers usará las variables de entorno de shell `PYTORCH_TRANSFORMERS_CACHE` o `PYTORCH_PRETRAINED_BERT_CACHE` si viene de una iteración anterior de la biblioteca y ha configurado esas variables de entorno, a menos que especifiques la variable de entorno de shell `TRANSFORMERS_CACHE`.
</Tip>
@@ -204,7 +204,7 @@ Otra opción para usar 🤗 Transformers offline es descargando previamente los
>>> model.save_pretrained("./your/path/bigscience_t0")
```
3. Cuando te encuentres offline, recarga los archivos con [`PreTrainedModel.from_pretrained`] desde el directorio especificado:
3. Cuando te encuentres offline, recarga los archivos con [`PreTrainedModel.from_pretrained`] desde el directorio especificado:
```py
>>> tokenizer = AutoTokenizer.from_pretrained("./your/path/bigscience_t0")
@@ -213,7 +213,7 @@ Otra opción para usar 🤗 Transformers offline es descargando previamente los
* Descarga de manera programática los archivos con la biblioteca [huggingface_hub](https://github.com/huggingface/huggingface_hub/tree/main/src/huggingface_hub):
1. Instala la biblioteca [huggingface_hub](https://github.com/huggingface/huggingface_hub/tree/main/src/huggingface_hub) en tu entorno virtual:
1. Instala la biblioteca [huggingface_hub](https://github.com/huggingface/huggingface_hub/tree/main/src/huggingface_hub) en tu entorno virtual:
```bash
python -m pip install huggingface_hub

4
docs/source/fr/installation.md
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@@ -149,10 +149,10 @@ Votre environnement Python utilisera la version de la branche `main` lors de la
## Installation avec conda
Installation via le canal `huggingface` de conda :
Installation via le canal `conda-forge` de conda :
```bash
conda install -c huggingface transformers
conda install conda-forge::transformers
```
## Configuration du cache

6
docs/source/it/installation.md
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@@ -130,10 +130,10 @@ Il tuo ambiente Python troverà la versione `main` di 🤗 Transformers alla pro
## Installazione con conda
Installazione dal canale conda `huggingface`:
Installazione dal canale conda `conda-forge`:
```bash
conda install -c huggingface transformers
conda install conda-forge::transformers
```
## Impostazione della cache
@@ -236,4 +236,4 @@ Una volta che il tuo file è scaricato e salvato in cache localmente, specifica
Fai riferimento alla sezione [How to download files from the Hub](https://huggingface.co/docs/hub/how-to-downstream) per avere maggiori dettagli su come scaricare modelli presenti sull Hub.
</Tip>
</Tip>

6
docs/source/ja/installation.md
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@@ -135,10 +135,10 @@ Python環境は次回の実行時に🤗 Transformersの`main`バージョンを
## condaでのインストール
`huggingface`のcondaチャンネルからインストールします:
`conda-forge`のcondaチャンネルからインストールします:
```bash
conda install -c huggingface transformers
conda install conda-forge::transformers
```
## キャッシュの設定
@@ -241,4 +241,4 @@ python examples/pytorch/translation/run_translation.py --model_name_or_path t5-s
Hubに保存されているファイルをダウンロードする方法の詳細については、[How to download files from the Hub](https://huggingface.co/docs/hub/how-to-downstream)セクションを参照してください。
</Tip>
</Tip>

8
docs/source/ko/installation.md
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@@ -49,7 +49,7 @@ Windows의 경우:
.env/Scripts/activate
```
이제 🤗 Transformers를 설치할 준비가 되었습니다. 다음 명령을 입력해주세요.
이제 🤗 Transformers를 설치할 준비가 되었습니다. 다음 명령을 입력해주세요.
```bash
pip install transformers
@@ -135,10 +135,10 @@ Python 환경을 다시 실행하면 업데이트된 🤗 Transformers의 `main`
## conda로 설치하기[[install-with-conda]]
`huggingface` conda 채널에서 설치할 수 있습니다.
`conda-forge` conda 채널에서 설치할 수 있습니다.
```bash
conda install -c huggingface transformers
conda install conda-forge::transformers
```
## 캐시 구성하기[[cache-setup]]
@@ -242,4 +242,4 @@ Another option for using 🤗 Transformers offline is to download the files ahea
Hub에 저장된 파일을 다운로드하는 방법을 더 자세히 알아보려면 [Hub에서 파일 다운로드하기](https://huggingface.co/docs/hub/how-to-downstream) 섹션을 참고해주세요.
</Tip>
</Tip>

6
docs/source/pt/installation.md
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@@ -144,10 +144,10 @@ O ambiente de Python que foi criado para a instalação do 🤗 Transformers enc
## Instalação usando o Conda
É possível instalar o 🤗 Transformers a partir do canal conda `huggingface` com o seguinte comando:
É possível instalar o 🤗 Transformers a partir do canal conda `conda-forge` com o seguinte comando:
```bash
conda install -c huggingface transformers
conda install conda-forge::transformers
```
## Configuração do Cachê
@@ -166,7 +166,7 @@ No Windows, este diretório pré-definido é dado por `C:\Users\username\.cache\
O 🤗 Transformers usará as variáveis de ambiente do shell `PYTORCH_TRANSFORMERS_CACHE` ou `PYTORCH_PRETRAINED_BERT_CACHE`
se estiver vindo de uma versão anterior da biblioteca que tenha configurado essas variáveis de ambiente, a menos que
você especifique a variável de ambiente do shell `TRANSFORMERS_CACHE`.
</Tip>

6
docs/source/zh/installation.md
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@@ -70,7 +70,7 @@ pip install 'transformers[tf-cpu]'
<Tip warning={true}>
M1 / ARM用户
在安装 TensorFlow 2.0 前，你需要安装以下库：
```
brew install cmake
@@ -147,10 +147,10 @@ git pull
## 使用 conda 安装
从 conda 的 `huggingface` 频道安装：
从 conda 的 `conda-forge` 频道安装：
```bash
conda install -c huggingface transformers
conda install conda-forge::transformers
```
## 缓存设置