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
-
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
metadata
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