Instructions to use sdp092004/face_recognition with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Flair
How to use sdp092004/face_recognition with Flair:
from flair.data import Sentence from flair.models import SequenceTagger tagger = SequenceTagger.load("sdp092004/face_recognition") sentence = Sentence("George Washington went to Washington.") tagger.predict(sentence) print(sentence) - Notebooks
- Google Colab
- Kaggle
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Download README.md from sdp092004/face_recognition: direct link, hf CLI and curl.
- Browser
- Download file 204 Bytes
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https://huggingface.co/sdp092004/face_recognition/resolve/main/README.md
- Command line
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hf download hf://sdp092004/face_recognition/README.md
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curl -L -o README.md https://huggingface.co/sdp092004/face_recognition/resolve/main/README.md
204 Bytes
| license: bigscience-openrail-m | |
| pipeline_tag: image-to-text | |
| base_model: | |
| - meta-llama/Llama-3.1-8B-Instruct | |
| library_name: flair | |
| datasets: | |
| - openai/MMMLU | |
| new_version: meta-llama/Llama-3.1-8B-Instruct | |