Transformers based NLP models
Project description
NLP Models
A repository for building transformer based nlp models
Installation
Install from PyPi
pip install nlp-models
Install from source
git clone git@github.com:minggnim/nlp-models.git
pip install -r requirements
Llama2 Quantization model on consumer CPU
Run Chat applications on CPU
-
Streamlit UI
cd apps streamlit run chat.py -
Command line
llm_app chat -s 'hi there'
Run Q&A application on CPU
-
Steamlit UI
cd apps streamlit run qa.py
Models
-
bert_classifierA wrapper package around BERT-based classification models -
multi_task_modelAn implementation of multi-tasking model built on encoder models -
GPT-2 -
Falcon 7B -
Quantized Llama2 models
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
nlp-models-4.2.2.tar.gz
(15.7 kB
view hashes)
Built Distribution
nlp_models-4.2.2-py3-none-any.whl
(19.2 kB
view hashes)
Close
Hashes for nlp_models-4.2.2-py3-none-any.whl
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 1ec0b4b1e3c639d631c08ddde57f4dce70ab38d8949223249fa2a9d9707be32c |
|
| MD5 | 7ff3553c69c6d623fe50d8e5f9ffe412 |
|
| BLAKE2b-256 | 45cbd961c95287433dd64fbc9241d6bae48fd8528baf7078e6c049722efe7691 |
