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
-
https://huggingface.co/vkbhere/testvkb/resolve/main/README.md
- Command line
-
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
metadata
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