Instructions to use singer2000/abcd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use singer2000/abcd with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("<base-model-id>") model.load_adapter("singer2000/abcd", set_active=True) - Notebooks
- Google Colab
- Kaggle
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Download README.md from singer2000/abcd: direct link, hf CLI and curl.
- Browser
- Download file 239 Bytes
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https://huggingface.co/singer2000/abcd/resolve/main/README.md
- Command line
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hf download hf://singer2000/abcd/README.md
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curl -L -H "Authorization: Bearer $HF_TOKEN" -o README.md https://huggingface.co/singer2000/abcd/resolve/main/README.md
239 Bytes
| license: apache-2.0 | |
| datasets: | |
| - HuggingFaceFV/finevideo | |
| language: | |
| - hi | |
| - en | |
| - gu | |
| metrics: | |
| - character | |
| base_model: | |
| - THUDM/CogVideoX-5b | |
| pipeline_tag: text-to-video | |
| library_name: adapter-transformers | |
| tags: | |
| - text-generation-inference | |