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 tekken.json from DesaiJayM/Bharat-24B-Math-Code: direct link, hf CLI and curl.
- Browser
- Download file 19.4 MB
-
https://huggingface.co/DesaiJayM/Bharat-24B-Math-Code/resolve/main/tekken.json
- Command line
-
hf download hf://DesaiJayM/Bharat-24B-Math-Code/tekken.json
-
curl -L -o tekken.json https://huggingface.co/DesaiJayM/Bharat-24B-Math-Code/resolve/main/tekken.json
19.4 MB
- Xet hash:
- 61dd9026d34bdd359b3ebe41e993d0a17a3050a8dff32b83b6c9488d76e8a27b
- Size of remote file:
- 19.4 MB
- SHA256:
- 6e2501687ccd0e1f30f36319eaf2b46958b897811e246cd8eb5d385b9e3de7d1
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