<!doctype html>
<html lang="en">
<head>
<meta charset="utf-8">
<title>Contents</title>
<meta name="viewport" content="width=device-width, initial-scale=1">
</head>
<body>

## Docker
`docker search tensorflow`
`docker pull jupyter/tensorflow-notebook`
`docker run jupyter/tensorflow-notebook -p 8000:8888`
- -p out:in
Transformers
`from transformers import pipeline`
`pip install transformers`
## docker compose
```yaml
services:
transformers-notebook:
build: ./Dockerfile | image: jupyter/tensorflow-notebook
- 8000:8888
environment
- JUPYTER_TOKEN=token
volumes
- ./:/home/{user}
```
```Dockerfile
FROM jupyter/tensorflow-notebook
USER $NB_UID //user | USER root
RUN pip install --upgrade pip &#x26;&#x26;\
pip install transformers &#x26;&#x26; \
pip install pysrt &#x26;&#x26; \
fix-permissions "/home/${NB_USER}"
COPY file.srt Translate.ipynb ./
```
`docker-compose up`
`from transformers import pipeline`
`pip install transformers`
```python
translator = pipeline("translation_en_to_fr")
fr = translator("Hi there I'm Alan!")
```
pysrt 讀取字幕檔
`docker images`
`docker image tag OOOOOOO-transformers-notebook:latest {user}/srt-translator:1.0`
`docker push {user}/srt-translator:1.0`
`docker container prune`
`docker rmi {user}/srt-translator:1.0`
`docker run -p 5000:8888 {user}/srt-translator:1.0`
## Ref
- https://youtu.be/-l7YocEQtA0?si=GOfJLcaa5CL8NBaX

</body>
</html>


## Docker
`docker search tensorflow`
`docker pull jupyter/tensorflow-notebook`
`docker run jupyter/tensorflow-notebook -p 8000:8888`
- -p out:in

Transformers
`from transformers import pipeline`
`pip install transformers`
## docker compose
```yaml
services:
	transformers-notebook:
			build: ./Dockerfile | image: jupyter/tensorflow-notebook
				- 8000:8888
			environment
				- JUPYTER_TOKEN=token
			volumes
				- ./:/home/{user}
```

```Dockerfile
FROM jupyter/tensorflow-notebook
USER $NB_UID   //user | USER root
RUN pip install --upgrade pip &&\
	pip install transformers && \
	pip install pysrt && \
	fix-permissions "/home/${NB_USER}"
COPY file.srt Translate.ipynb ./

```

`docker-compose up`

`from transformers import pipeline`
`pip install transformers`
```python
translator = pipeline("translation_en_to_fr")
fr = translator("Hi there I'm Alan!")

 ```
 pysrt 讀取字幕檔

`docker images`

`docker image tag OOOOOOO-transformers-notebook:latest {user}/srt-translator:1.0`

`docker push {user}/srt-translator:1.0`

`docker container prune`
`docker rmi {user}/srt-translator:1.0`

`docker run -p 5000:8888 {user}/srt-translator:1.0`

## Ref
- https://youtu.be/-l7YocEQtA0?si=GOfJLcaa5CL8NBaX


20231209-docker-machine-learning

- [Docker](#docker)
- [docker compose](#docker-compose)
- [Ref](#ref)

docker run jupyter/tensorflow-notebook -p 8000:8888

`docker search tensorflow`
`docker pull jupyter/tensorflow-notebook`
`docker run jupyter/tensorflow-notebook -p 8000:8888`

Transformers
`from transformers import pipeline`
`pip install transformers`

services:
    transformers-notebook:
            build: ./Dockerfile | image: jupyter/tensorflow-notebook
                - 8000:8888
            environment
                - JUPYTER_TOKEN=token
            volumes
                - ./:/home/{user}


FROM jupyter/tensorflow-notebook
USER $NB_UID   //user | USER root
RUN pip install --upgrade pip &&\
    pip install transformers && \
    pip install pysrt && \
    fix-permissions "/home/${NB_USER}"
COPY file.srt Translate.ipynb ./



`from transformers import pipeline`
`pip install transformers`

translator = pipeline("translation_en_to_fr")
fr = translator("Hi there I'm Alan!")



docker image tag OOOOOOO-transformers-notebook:latest {user}/srt-translator:1.0

`docker image tag OOOOOOO-transformers-notebook:latest {user}/srt-translator:1.0`

`docker container prune`
`docker rmi {user}/srt-translator:1.0`

docker run -p 5000:8888 {user}/srt-translator:1.0

`docker run -p 5000:8888 {user}/srt-translator:1.0`

https://youtu.be/-l7YocEQtA0?si=GOfJLcaa5CL8NBaX