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:
- b1493fb5d287f0a90c91ad14411ed203b81d3de1e5e8a800ec37d0868268dd33
- Size of remote file:
- 5.56 kB
- SHA256:
- 55b3792d4b613f2f84e3e0050c015b8aa6d3edc8d5a71fb6b922604cd5c4abbe
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