Instructions to use Sids99/intobj with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use Sids99/intobj with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("fill-in-model-name") model.load_adapter("Sids99/intobj", set_active=True) - Notebooks
- Google Colab
- Kaggle
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Download README.md from Sids99/intobj: direct link, hf CLI and curl.
- Browser
- Download file 248 Bytes
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https://huggingface.co/Sids99/intobj/resolve/main/README.md
- Command line
-
hf download hf://Sids99/intobj/README.md
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curl -L -o README.md https://huggingface.co/Sids99/intobj/resolve/main/README.md
248 Bytes
| license: apache-2.0 | |
| datasets: | |
| - HuggingFaceFW/fineweb | |
| - HuggingFaceM4/the_cauldron | |
| - LooksJuicy/ruozhiba | |
| metrics: | |
| - accuracy | |
| - bertscore | |
| - bleurt | |
| - code_eval | |
| - charcut_mt | |
| library_name: adapter-transformers | |
| pipeline_tag: token-classification | |