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# Huggingface NAS
## Installation
```bash
pip3 install huggingface_nas
```
## How to use
### Huggingface to Synology NAS (Model)
```python
from huggingface_nas import upload_model
upload_model(
name="<huggingface model ex. meta-llama/Llama-3.3-70B-Instruct>",
base_folder="<synology folder>",
token="<huggingface token>",
ip_address="<synology ip>",
port="<synology port>",
username="<synology username>",
password="<synology password>"
)
```
### Huggingface to Synology NAS (Dataset)
```python
from huggingface_nas import upload_dataset
upload_dataset(
name="<huggingface dataset ex. meta-llama/Llama-3.3-70B-Instruct-evals>",
base_folder="<synology folder>",
token="<huggingface token>",
ip_address="<synology ip>",
port="<synology port>",
username="<synology username>",
password="<synology password>"
)
```
### Load dataset from Synology NAS
```python
from huggingface_nas import load_dataset_nas
data = load_dataset_nas(
path="<model path such as meta-llama/Llama-3.3-70B-Instruct-evals>",
base_path="<share folder in synology NAS>",
ip_address="<synology ip>",
port="<synology port>",
username="<synology username>",
password="<synology password>"
)
```
### Load Model from Synology NAS
```python
from transformers import AutoModel
from huggingface_nas import prepare_model_from_nas
model_download_path = prepare_model_from_nas(
path="<model path such as meta-llama/Llama-3.3-70B-Instruct>",
base_path="<share folder in synology NAS>",
ip_address="<synology ip>",
port="<synology port>",
username="<synology username>",
password="<synology password>"
)
AutoModel.from_pretrained(model_download_path)
```
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"description": "<!---\nCopyright 2024 tony9402. All rights reserved.\n\nLicensed under the Apache License, Version 2.0 (the \"License\");\nyou may not use this file except in compliance with the License.\nYou may obtain a copy of the License at\n\n http://www.apache.org/licenses/LICENSE-2.0\n\nUnless required by applicable law or agreed to in writing, software\ndistributed under the License is distributed on an \"AS IS\" BASIS,\nWITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\nSee the License for the specific language governing permissions and\nlimitations under the License.\n-->\n\n# Huggingface NAS\n\n## Installation\n\n```bash\npip3 install huggingface_nas\n```\n\n## How to use\n\n### Huggingface to Synology NAS (Model)\n\n```python\nfrom huggingface_nas import upload_model\n\nupload_model(\n name=\"<huggingface model ex. meta-llama/Llama-3.3-70B-Instruct>\",\n base_folder=\"<synology folder>\",\n token=\"<huggingface token>\",\n ip_address=\"<synology ip>\",\n port=\"<synology port>\",\n username=\"<synology username>\",\n password=\"<synology password>\"\n)\n```\n\n### Huggingface to Synology NAS (Dataset)\n\n```python\nfrom huggingface_nas import upload_dataset\n\nupload_dataset(\n name=\"<huggingface dataset ex. meta-llama/Llama-3.3-70B-Instruct-evals>\",\n base_folder=\"<synology folder>\",\n token=\"<huggingface token>\",\n ip_address=\"<synology ip>\",\n port=\"<synology port>\",\n username=\"<synology username>\",\n password=\"<synology password>\"\n)\n```\n\n### Load dataset from Synology NAS\n\n```python\nfrom huggingface_nas import load_dataset_nas\n\ndata = load_dataset_nas(\n path=\"<model path such as meta-llama/Llama-3.3-70B-Instruct-evals>\",\n base_path=\"<share folder in synology NAS>\",\n ip_address=\"<synology ip>\",\n port=\"<synology port>\",\n username=\"<synology username>\",\n password=\"<synology password>\"\n)\n```\n\n### Load Model from Synology NAS\n\n```python\nfrom transformers import AutoModel\nfrom huggingface_nas import prepare_model_from_nas\n\nmodel_download_path = prepare_model_from_nas(\n path=\"<model path such as meta-llama/Llama-3.3-70B-Instruct>\",\n base_path=\"<share folder in synology NAS>\",\n ip_address=\"<synology ip>\",\n port=\"<synology port>\",\n username=\"<synology username>\",\n password=\"<synology password>\"\n)\nAutoModel.from_pretrained(model_download_path)\n```\n\n\n\n",
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