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 pytorch_model.bin from MohametSena/math_models: direct link, hf CLI and curl.
- Browser
- Download file 79 MB
-
https://huggingface.co/MohametSena/math_models/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://MohametSena/math_models/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/MohametSena/math_models/resolve/main/pytorch_model.bin
79 MB
- Xet hash:
- 1e5ce14453e3cfc18cf1e9cecdfe5a12eb1526244d330cb4c20973b8d3e4458f
- Size of remote file:
- 79 MB
- SHA256:
- 103e797cb64e401c9b023e7a59c750a0ef27da24d303187e7177cf1de1191d34
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