Instructions to use openmodelai/SpaceV1s with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use openmodelai/SpaceV1s with spaCy:
!pip install https://huggingface.co/openmodelai/SpaceV1s/resolve/main/SpaceV1s-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("SpaceV1s") # Importing as module. import SpaceV1s nlp = SpaceV1s.load() - Notebooks
- Google Colab
- Kaggle
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Download README.md from openmodelai/SpaceV1s: direct link, hf CLI and curl.
- Browser
- Download file 254 Bytes
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https://huggingface.co/openmodelai/SpaceV1s/resolve/main/README.md
- Command line
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hf download hf://openmodelai/SpaceV1s/README.md
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curl -L -o README.md https://huggingface.co/openmodelai/SpaceV1s/resolve/main/README.md
254 Bytes
| license: mit | |
| datasets: | |
| - >- | |
| Setloop/What-Gradients-Add-to-Text-Leakage-in-Split-Language-Models-Counted-per-Token-and-per-Document | |
| language: | |
| - en | |
| metrics: | |
| - ter | |
| pipeline_tag: text-generation | |
| library_name: spacy | |
| tags: | |
| - text-generation-inference | |