Skip to main content

a repository for pxia models

Project description

PXIA

A repository for pxia models

This repository is using HuggingFace's PyTorchModelHubMixin classes

Downloads

How to use

pip install pxia
from pxia import GPT2
model = GPT2(block_size= 1024, vocab_size = 50257, n_layer= 11, n_head= 12, n_embed = 768) # or use default parameters
model.push_to_hub("phxia/gpt2")

pretrained_model = GPT2.from_pretrained("phxia/gpt2")

alternatively you can load weights from source gpt2 models from huggingface and convert them to pxia format

model = GPT2.from_origin("openai-community/gpt2")

we also support AutoModel class in our repository to load any pxia model either locally or from the hub you can

from pxia import AutoModel
model = AutoModel.from_pretrained("phxia/gpt2")

pxia

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pxia-0.2.0.tar.gz (319.9 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

pxia-0.2.0-py3-none-any.whl (12.4 kB view details)

Uploaded Python 3

File details

Details for the file pxia-0.2.0.tar.gz.

File metadata

  • Download URL: pxia-0.2.0.tar.gz
  • Upload date:
  • Size: 319.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.9.20

File hashes

Hashes for pxia-0.2.0.tar.gz
Algorithm Hash digest
SHA256 b85684c1460906de6ab346ca590ba8102257e83fbeb76c4b144d7c9516920a04
MD5 8e557db68d0cdc87a27ddb49b022e96f
BLAKE2b-256 3dc4be80b8d237c84973e8ccc521d7c2a585edc5b69ba7778261f2b8e9abacc1

See more details on using hashes here.

File details

Details for the file pxia-0.2.0-py3-none-any.whl.

File metadata

  • Download URL: pxia-0.2.0-py3-none-any.whl
  • Upload date:
  • Size: 12.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.9.20

File hashes

Hashes for pxia-0.2.0-py3-none-any.whl
Algorithm Hash digest
SHA256 1288196c207f11bdb2d69e29d7736edea298604a324f3bc5d02a9f0ca93d3e78
MD5 993c8b5b7557de7ce2cb79d17f62c4e7
BLAKE2b-256 88a549fa95737f1f4d64bc515a07c730273fbe582c23987e132323ee468eb889

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page