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---
language: en
datasets:
- custom
task_categories:
- text-classification
task_ids:
- sentiment-classification
license: mit
---
Github link:
- https://github.com/hennypurwadi/Alpaca_finetune_sentiment_analysis
```python
import os
import sys
import fire
import gradio as gr
import torch
import transformers
from peft import PeftModel
from transformers import GenerationConfig, LlamaForCausalLM, LlamaTokenizer
!git clone https://github.com/tloen/alpaca-lora.git
%cd alpaca-lora
!git c!python generate.py \
--load_8bit \
--base_model 'decapoda-research/llama-7b-hf' \
--lora_weights 'RinInori/alpaca_finetune_6_sentiments' \
--share_gradio
!python generate.py \
--load_8bit \
--base_model 'decapoda-research/llama-7b-hf' \
--lora_weights 'RinInori/alpaca_finetune_6_sentiments' \
--share_gradio
#Click on output(For example:)
Running on local URL: http://
Running on public URL: https:// |