Instructions to use Finance1/Face_Recognition123 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use Finance1/Face_Recognition123 with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("<base-model-id>") model.load_adapter("Finance1/Face_Recognition123", set_active=True) - Notebooks
- Google Colab
- Kaggle
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Download README.md from Finance1/Face_Recognition123: direct link, hf CLI and curl.
- Browser
- Download file 141 Bytes
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https://huggingface.co/Finance1/Face_Recognition123/resolve/main/README.md
- Command line
-
hf download hf://Finance1/Face_Recognition123/README.md
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curl -L -o README.md https://huggingface.co/Finance1/Face_Recognition123/resolve/main/README.md
141 Bytes
metadata
license: openrail
datasets:
- OpenAssistant/oasst1
language:
- av
library_name: adapter-transformers
pipeline_tag: question-answering