Instructions to use David1717/d77 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use David1717/d77 with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("<base-model-id>") model.load_adapter("David1717/d77", set_active=True) - Notebooks
- Google Colab
- Kaggle
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Download README.md from David1717/d77: direct link, hf CLI and curl.
- Browser
- Download file 159 Bytes
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https://huggingface.co/David1717/d77/resolve/main/README.md
- Command line
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hf download hf://David1717/d77/README.md
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curl -L -o README.md https://huggingface.co/David1717/d77/resolve/main/README.md
159 Bytes
| license: mit | |
| datasets: | |
| - openslr/librispeech_asr | |
| language: | |
| - en | |
| pipeline_tag: voice-activity-detection | |
| library_name: adapter-transformers | |
| tags: | |
| - legal | |