Instructions to use Jaythakur/clothify with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use Jaythakur/clothify with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("<base-model-id>") model.load_adapter("Jaythakur/clothify", set_active=True) - Notebooks
- Google Colab
- Kaggle
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Download README.md from Jaythakur/clothify: direct link, hf CLI and curl.
- Browser
- Download file 244 Bytes
-
https://huggingface.co/Jaythakur/clothify/resolve/main/README.md
- Command line
-
hf download hf://Jaythakur/clothify/README.md
-
curl -L -o README.md https://huggingface.co/Jaythakur/clothify/resolve/main/README.md
244 Bytes
metadata
license: apache-2.0
datasets:
- HuggingFaceTB/finemath
language:
- en
metrics:
- accuracy
base_model: Qwen/QVQ-72B-Preview
new_version: Qwen/QVQ-72B-Preview
library_name: adapter-transformers
pipeline_tag: question-answering
tags:
- art