Instructions to use Akhil06042002/model_model_super_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Akhil06042002/model_model_super_model with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("Akhil06042002/model_model_super_model") model = AutoModelForMultipleChoice.from_pretrained("Akhil06042002/model_model_super_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Akhil06042002/model_model_super_model: direct link, hf CLI and curl.
- Browser
- Download file 711 kB
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https://huggingface.co/Akhil06042002/model_model_super_model/resolve/baef059f3d9f50dcf20cc61baab53729fdf5a00a/tokenizer.json
- Command line
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hf download hf://Akhil06042002/model_model_super_model@baef059f3d9f50dcf20cc61baab53729fdf5a00a/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/Akhil06042002/model_model_super_model/resolve/baef059f3d9f50dcf20cc61baab53729fdf5a00a/tokenizer.json
711 kB
File too large to display, you can check the raw version instead.