Instructions to use areeb-h/char with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use areeb-h/char with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("<base-model-id>") model.load_adapter("areeb-h/char", set_active=True) - Notebooks
- Google Colab
- Kaggle
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Download README.md from areeb-h/char: direct link, hf CLI and curl.
- Browser
- Download file 291 Bytes
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https://huggingface.co/areeb-h/char/resolve/main/README.md
- Command line
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hf download hf://areeb-h/char/README.md
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curl -L -o README.md https://huggingface.co/areeb-h/char/resolve/main/README.md
291 Bytes
| license: mit | |
| datasets: | |
| - microsoft/orca-agentinstruct-1M-v1 | |
| - fka/awesome-chatgpt-prompts | |
| language: | |
| - en | |
| metrics: | |
| - accuracy | |
| base_model: | |
| - nvidia/Llama-3.1-Nemotron-70B-Instruct-HF | |
| new_version: microsoft/OmniParser | |
| pipeline_tag: text-classification | |
| library_name: adapter-transformers | |