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 pytorch_model.bin from Akhil06042002/model_model_super_model: direct link, hf CLI and curl.
- Browser
- Download file 438 MB
-
https://huggingface.co/Akhil06042002/model_model_super_model/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Akhil06042002/model_model_super_model/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Akhil06042002/model_model_super_model/resolve/main/pytorch_model.bin
438 MB
- Xet hash:
- aacd05c7fd81f7eca5eae5d53d3b21a33e8a57001bb329352dde932236aecdad
- Size of remote file:
- 438 MB
- SHA256:
- 1bd1252411f847dbe3da2f2a0c54b213cb148ace8bc0607970604718db1c03a6
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