Text Generation
PEFT
Safetensors
Hindi
English
agent
hinglish
indian-ai
system-agent
qlora
build-in-public
conversational
Instructions to use jhalakdev67dev/Aura-v1-lora-beta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use jhalakdev67dev/Aura-v1-lora-beta with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("sarvamai/sarvam-2b") model = PeftModel.from_pretrained(base_model, "jhalakdev67dev/Aura-v1-lora-beta") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from jhalakdev67dev/Aura-v1-lora-beta: direct link, hf CLI and curl.
- Browser
- Download file 8.51 MB
-
https://huggingface.co/jhalakdev67dev/Aura-v1-lora-beta/resolve/main/tokenizer.json
- Command line
-
hf download hf://jhalakdev67dev/Aura-v1-lora-beta/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/jhalakdev67dev/Aura-v1-lora-beta/resolve/main/tokenizer.json
8.51 MB
File too large to display, you can check the raw version instead.