Instructions to use aliRafik/magistral_lora_math_problem with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aliRafik/magistral_lora_math_problem with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("aliRafik/magistral_lora_math_problem", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download tokenizer.json from aliRafik/magistral_lora_math_problem: direct link, hf CLI and curl.
- Browser
- Download file 17.1 MB
-
https://huggingface.co/aliRafik/magistral_lora_math_problem/resolve/main/tokenizer.json
- Command line
-
hf download hf://aliRafik/magistral_lora_math_problem/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/aliRafik/magistral_lora_math_problem/resolve/main/tokenizer.json
17.1 MB
- Xet hash:
- 475176ef21601ab0c65892a313cc7e758ba71ea116b3a3bf0c0b0cf51f8b7107
- Size of remote file:
- 17.1 MB
- SHA256:
- fa83913943b39082d1db64f644319c9dc67c0af65073b7be8fd01024be2ed803
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