Instructions to use MohametSena/math_models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MohametSena/math_models with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("MohametSena/math_models") model = AutoModel.from_pretrained("MohametSena/math_models", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from MohametSena/math_models: direct link, hf CLI and curl.
- Browser
- Download file 3.84 kB
-
https://huggingface.co/MohametSena/math_models/resolve/main/training_args.bin
- Command line
-
hf download hf://MohametSena/math_models/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/MohametSena/math_models/resolve/main/training_args.bin
3.84 kB
- Xet hash:
- 29f8b785ff5634346e361ceb448f6e3debab965e60739882581789bb58da0167
- Size of remote file:
- 3.84 kB
- SHA256:
- 915f97559b45ed8f369c84e1e1f1c6363cc1ae0443006582ef4c8771331a8610
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