Instructions to use Smartph90/Activities with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Flair
How to use Smartph90/Activities with Flair:
from flair.data import Sentence from flair.models import SequenceTagger tagger = SequenceTagger.load("Smartph90/Activities") sentence = Sentence("George Washington went to Washington.") tagger.predict(sentence) print(sentence) - Notebooks
- Google Colab
- Kaggle
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Download README.md from Smartph90/Activities: direct link, hf CLI and curl.
- Browser
- Download file 249 Bytes
-
https://huggingface.co/Smartph90/Activities/resolve/main/README.md
- Command line
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hf download hf://Smartph90/Activities/README.md
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curl -L -o README.md https://huggingface.co/Smartph90/Activities/resolve/main/README.md
249 Bytes
| license: apache-2.0 | |
| datasets: | |
| - fka/awesome-chatgpt-prompts | |
| language: | |
| - am | |
| metrics: | |
| - accuracy | |
| base_model: | |
| - deepseek-ai/Janus-Pro-7B | |
| new_version: deepseek-ai/DeepSeek-V3 | |
| pipeline_tag: token-classification | |
| library_name: flair | |
| tags: | |
| - biology | |