Skip to main content

No project description provided

Project description

PRIOR

🐍 A Python package for distributing resources from AI2's PRIOR team

Installation

Install the prior package with pip:

pip install prior

Datasets

import prior
prior.load_dataset("procthor-10k")
import prior
prior.load_dataset("object-nav-eval")

Models

import prior
prior.load_model(project="procthor-models", model="object-nav-pretraining")

Example Usage

To use a public Python dataset, simply run:

import prior
dataset = prior.load_dataset("test-dataset", entity="mattdeitke", revision="main")

Here, revision can be either a tag, branch, or commit hash.

Private Datasets

If you want to use a private dataset, make sure you're either:

  1. Already logged into GitHub from the command line, and able to pull a private repo.
  2. Set the GITHUB_TOKEN environment variable to a GitHub authentication token with read access to private repositories (e.g., export GITHUB_TOKEN=<token>). You can generate a GitHub authentication token here.
  3. Set the gh_auth_token global variable in the prior package with:
import prior
prior.gh_auth_token = "<token>"

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

prior-1.0.3.tar.gz (13.8 kB view details)

Uploaded Source

Built Distribution

prior-1.0.3-py3-none-any.whl (13.6 kB view details)

Uploaded Python 3

File details

Details for the file prior-1.0.3.tar.gz.

File metadata

  • Download URL: prior-1.0.3.tar.gz
  • Upload date:
  • Size: 13.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.10.6

File hashes

Hashes for prior-1.0.3.tar.gz
Algorithm Hash digest
SHA256 78b9734a1edc80884b2abe1421f88e6b6195d227e8a917e8aa15aa02dd9668b8
MD5 64713f3825fd07e488139cccb539fe60
BLAKE2b-256 46eac157bcfb667a29cad111dccd1ccae1e6571e7a6a73f71921a83ef34d52d5

See more details on using hashes here.

File details

Details for the file prior-1.0.3-py3-none-any.whl.

File metadata

  • Download URL: prior-1.0.3-py3-none-any.whl
  • Upload date:
  • Size: 13.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.10.6

File hashes

Hashes for prior-1.0.3-py3-none-any.whl
Algorithm Hash digest
SHA256 e8672ef32dda0c96fb8c7cf243e2a553e62f20dc316d173db6fd84f45b0e698b
MD5 0dada068fe11d3a2c81ea82cfec47992
BLAKE2b-256 93c1af1a38dd1ce3185ffd799f877f759b57a84f3c6d4ac98f891aeed98a297e

See more details on using hashes here.

Supported by

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