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_config.json from jhalakdev67dev/Aura-v1-lora-beta: direct link, hf CLI and curl.
- Browser
- Download file 440 Bytes
-
https://huggingface.co/jhalakdev67dev/Aura-v1-lora-beta/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://jhalakdev67dev/Aura-v1-lora-beta/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/jhalakdev67dev/Aura-v1-lora-beta/resolve/main/tokenizer_config.json
440 Bytes
| { | |
| "add_prefix_space": true, | |
| "backend": "tokenizers", | |
| "bos_token": "<s>", | |
| "clean_up_tokenization_spaces": false, | |
| "eos_token": "</s>", | |
| "is_local": false, | |
| "local_files_only": false, | |
| "model_max_length": 1000000000000000019884624838656, | |
| "pad_token": "</s>", | |
| "sp_model_kwargs": {}, | |
| "spaces_between_special_tokens": false, | |
| "tokenizer_class": "LlamaTokenizer", | |
| "unk_token": "<unk>", | |
| "use_default_system_prompt": false | |
| } | |