Instructions to use kouki321/model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kouki321/model with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("kouki321/model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| license: mit | |
| library_name: transformers | |
| inference: | |
| parameters: | |
| temperature: 0.7 | |
| ## Description | |
| A brief overview of what your model does, its purpose, and the problem it solves. | |
| ## Features | |
| - **Image Classification**: Classifies images and provides prediction scores. | |
| - **Customizable**: Easily integrate and customize for your specific use case. | |
| - **Pre-trained**: Model trained on a diverse dataset. | |
| ## Installation | |
| Instructions for installing the necessary packages and dependencies. Include steps for downloading the model. | |
| ```bash | |
| pip install spacy huggingface_hub |