sh0416/llama-classification
Text classification with Foundation Language Model LLaMA
This is a codebase for research scientists and machine learning engineers to conduct experiments on text classification using the LLaMA foundation model. It takes raw text data as input and outputs predicted categories or labels for each text, along with evaluation metrics like accuracy. The primary users are researchers focused on evaluating and comparing large language model performance on classification tasks.
113 stars. No commits in the last 6 months.
Use this if you are a researcher or ML engineer needing to implement and experiment with LLaMA for text classification, especially when exploring different probabilistic methods like 'Direct' or 'Channel' approaches.
Not ideal if you are looking for a plug-and-play solution for general text classification without deep dives into model architecture or experimental setups, or if you don't have access to substantial GPU resources.
Stars
113
Forks
9
Language
Python
License
GPL-3.0
Category
Last pushed
Mar 19, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/transformers/sh0416/llama-classification"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
hkproj/pytorch-llama
LLaMA 2 implemented from scratch in PyTorch
4AI/LS-LLaMA
A Simple but Powerful SOTA NER Model | Official Code For Label Supervised LLaMA Finetuning
luchangli03/export_llama_to_onnx
export llama to onnx
ayaka14732/llama-2-jax
JAX implementation of the Llama 2 model
harleyszhang/lite_llama
A light llama-like llm inference framework based on the triton kernel.