Instructions to use vkbhere/testvkb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use vkbhere/testvkb with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("<base-model-id>") model.load_adapter("vkbhere/testvkb", set_active=True) - Notebooks
- Google Colab
- Kaggle
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Download README.md from vkbhere/testvkb: direct link, hf CLI and curl.
- Browser
- Download file 281 Bytes
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https://huggingface.co/vkbhere/testvkb/resolve/main/README.md
- Command line
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hf download hf://vkbhere/testvkb/README.md
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curl -L -o README.md https://huggingface.co/vkbhere/testvkb/resolve/main/README.md
281 Bytes
| license: apache-2.0 | |
| datasets: | |
| - teknium/OpenHermes-2.5 | |
| - HuggingFaceM4/WebSight | |
| - open-llm-leaderboard/details_teknium__OpenHermes-2.5-Mistral-7B | |
| language: | |
| - en | |
| metrics: | |
| - accuracy | |
| - character | |
| - code_eval | |
| library_name: adapter-transformers | |
| pipeline_tag: text-classification | |