Alpaca-LoRA is an open-source project that reproduces results from Stanford Alpaca using Low-Rank Adaptation (LoRA) techniques. It provides an Instruct model of similar quality to text-davinci-003.
Alpaca-LoRA uses the resource-efficient low-rank adaptation (LoRA) method, also widely used in Stable Diffusion, with Meta’s LLaMA to achieve results comparable to Alpaca
Alpaca formula is open source, but may not be used commercially. However, the LLaMA model used for Alpaca is not released for commercial use, and the OpenAI GPT-3.5 terms of use prohibit using the model to develop AI models that compete with OpenAI. Stanford has therefore not yet released the model, only the training data and the code to generate the data and fine-tune the model.

Github link: 
- https://github.com/hennypurwadi/Alpaca_finetune_sentiment_analysis

Inference: click red bar Space

The labeled dataset I used to fine-tune and train the Alpaca model can be found at: 
https://www.kaggle.com/datasets/praveengovi/emotions-dataset-for-nlp?select=train.txt

To create Space in HuggingFace: https://huggingface.co/new-space 
( Select for CPU Upgrade or above)

https://huggingface.co/spaces/RinInori/alpaca_finetune_6_sentiments

Upload app.py and requirements.txt to 
https://huggingface.co/spaces/RinInori/alpaca_finetune_6_sentiments/tree/main

Alpaca ref: https://github.com/tloen/alpaca-lora
{"language": "en", "license": "apache-2.0", "datasets": ["custom"], "task_categories": ["text-classification"], "task_ids": ["sentiment-classification"]}
transformers en dataset:custom license:apache-2.0 endpoints_compatible has_space region:us
TAGS
#transformers #en #dataset-custom #license-apache-2.0 #endpoints_compatible #has_space #region-us 

Alpaca-LoRA is an open-source project that reproduces results from Stanford Alpaca using Low-Rank Adaptation (LoRA) techniques. It provides an Instruct model of similar quality to text-davinci-003.
Alpaca-LoRA uses the resource-efficient low-rank adaptation (LoRA) method, also widely used in Stable Diffusion, with Meta’s LLaMA to achieve results comparable to Alpaca
Alpaca formula is open source, but may not be used commercially. However, the LLaMA model used for Alpaca is not released for commercial use, and the OpenAI GPT-3.5 terms of use prohibit using the model to develop AI models that compete with OpenAI. Stanford has therefore not yet released the model, only the training data and the code to generate the data and fine-tune the model.

Github link: 
- URL

Inference: click red bar Space

The labeled dataset I used to fine-tune and train the Alpaca model can be found at: 
URL

To create Space in HuggingFace: URL 
( Select for CPU Upgrade or above)

URL

Upload URL and URL to 
URL

Alpaca ref: URL
TAGS
#transformers #en #dataset-custom #license-apache-2.0 #endpoints_compatible #has_space #region-us 
