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
|
Download README.md from areeb-h/char: direct link, hf CLI and curl.
- Browser
- Download file 291 Bytes
-
https://huggingface.co/areeb-h/char/resolve/main/README.md
- Command line
-
hf download hf://areeb-h/char/README.md
-
curl -L -o README.md https://huggingface.co/areeb-h/char/resolve/main/README.md
291 Bytes
metadata
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