Instructions to use gitanshgarg/hindi-devanagari-math with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use gitanshgarg/hindi-devanagari-math with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-7B-v0.1") model = PeftModel.from_pretrained(base_model, "gitanshgarg/hindi-devanagari-math") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c1e55815bc37b8aa06e2c58575ce83fab2c3b5843341402601823d2da0cf698d
- Size of remote file:
- 85.7 MB
- SHA256:
- 38a2e49ad4f72f3615a8d836084f99c0fc7e4f252906d176b6e32617bff598c3
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