Skip to main content

A PyTorch-based toolkit for natural language processing

Project description

TorchBlocks

A PyTorch-based toolkit for natural language processing

Code style: black License: MIT

Requirements

  • transformers>=4.1.1
  • torch>=1.6.0

TorchBlocks requires Python 3.6+. We recommend installing TorchBlocks in a Linux or OSX environment.

Installation

Recommended (because of active development):

git clone https://github.com/lonePatient/TorchBlocks.git
cd TorchBlocks
python setup.py install

Tutorials

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

torchblocks-1.0.0.tar.gz (81.1 kB view details)

Uploaded Source

Built Distributions

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

torchblocks-1.0.0-py3.7.egg (286.0 kB view details)

Uploaded Egg

torchblocks-1.0.0-py3-none-any.whl (120.8 kB view details)

Uploaded Python 3

File details

Details for the file torchblocks-1.0.0.tar.gz.

File metadata

  • Download URL: torchblocks-1.0.0.tar.gz
  • Upload date:
  • Size: 81.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.50.2 CPython/3.7.3

File hashes

Hashes for torchblocks-1.0.0.tar.gz
Algorithm Hash digest
SHA256 92c4f299b37e198396ed0bee87f38a0278f83d858a2e8529c60b2fa2975298c4
MD5 9956761246f03f7dcba7f21a0527ebc0
BLAKE2b-256 a8ea04f771f80dfb93be6de072dcfc0ab642efb14095c93963c437aed3c0d6af

See more details on using hashes here.

File details

Details for the file torchblocks-1.0.0-py3.7.egg.

File metadata

  • Download URL: torchblocks-1.0.0-py3.7.egg
  • Upload date:
  • Size: 286.0 kB
  • Tags: Egg
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.50.2 CPython/3.7.3

File hashes

Hashes for torchblocks-1.0.0-py3.7.egg
Algorithm Hash digest
SHA256 9faf2fe3664a11613151ca076b5e9a0c6fc2e0103b771086eb2dbbd85ad46e46
MD5 2b77ddf09ef5a7603ffdb3236b034b3a
BLAKE2b-256 bf0be36f830b25538f023e39043606ba637f8e0a4e9e071b67eb21401376689a

See more details on using hashes here.

File details

Details for the file torchblocks-1.0.0-py3-none-any.whl.

File metadata

  • Download URL: torchblocks-1.0.0-py3-none-any.whl
  • Upload date:
  • Size: 120.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.50.2 CPython/3.7.3

File hashes

Hashes for torchblocks-1.0.0-py3-none-any.whl
Algorithm Hash digest
SHA256 4a0575d17196f66d79ad9830c626d5f47ca878eb88d19ef0e5cf2884150e1c32
MD5 ffc3921fa78126c8bde6699d649fc8a0
BLAKE2b-256 411ccf410629fa59b6389ea430c9e5db7432b28b7746bc2d2c546fa0259f5a78

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