Instructions to use DesaiJayM/Bharat-24B-Math-Code with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use DesaiJayM/Bharat-24B-Math-Code with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-Small-3.2-24B-Instruct-2506") model = PeftModel.from_pretrained(base_model, "DesaiJayM/Bharat-24B-Math-Code") - Notebooks
- Google Colab
- Kaggle
Download requirements.txt from DesaiJayM/Bharat-24B-Math-Code: direct link, hf CLI and curl.
- Browser
- Download file 139 Bytes
-
https://huggingface.co/DesaiJayM/Bharat-24B-Math-Code/resolve/main/requirements.txt
- Command line
-
hf download hf://DesaiJayM/Bharat-24B-Math-Code/requirements.txt
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curl -L -o requirements.txt https://huggingface.co/DesaiJayM/Bharat-24B-Math-Code/resolve/main/requirements.txt
139 Bytes
| torch>=2.6 | |
| transformers==5.19.0 | |
| mistral-common==1.12.0 | |
| peft==0.21.2 | |
| bitsandbytes==0.50.2 | |
| accelerate==1.15.0 | |
| huggingface_hub==1.32.0 | |