stperrakis/ULM-fit

This repository contains an implementation of the ULMfit (Universal Language Model Fine-Tuning) approach. ULMfit is a powerful transfer learning method for natural language processing tasks, designed to enable efficient fine-tuning of language models for text classification or similar tasks.

22
/ 100
Experimental

No commits in the last 6 months.

No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 2 / 25
Maturity 8 / 25
Community 12 / 25

How are scores calculated?

Stars

2

Forks

1

Language

Jupyter Notebook

License

—

Category

llm-fine-tuning

Last pushed

Dec 06, 2024

Commits (30d)

0

GitHub
Llm Fine Tuning · 212 models

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/transformers/stperrakis/ULM-fit"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.

Higher-rated alternatives

OptimalScale/LMFlow

An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. Large Models for All.

59

adithya-s-k/AI-Engineering.academy

Mastering Applied AI, One Concept at a Time

57

jax-ml/jax-llm-examples

Minimal yet performant LLM examples in pure JAX

53

young-geng/scalax

A simple library for scaling up JAX programs

52

riyanshibohra/TuneKit

Upload your data → Get a fine-tuned SLM. Free.

49

Explore Transformer Models

All categories Trending Transformer directory Insights