Fast and lightweight NLP pipeline for ML tasks: powerful tokeniser and (model-free) sentence embeddings using Fast Fourier transforms, power means, positional encoding and Wordnet or Poincare Embeddings
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Release files for ffast 0.4.10
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| ffast-0.4.10.tar.gz | 44.9 MB | Without provenance | Details for ffast-0.4.10.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| ffast-0.4.10-py3-none-any.whl | Python 3 | none | any | Details for ffast-0.4.10-py3-none-any.whl |
Total release size: 90.6 MB
Release files / ffast-0.4.10.tar.gz
| Download URL | ffast-0.4.10.tar.gz |
|---|---|
| Size | 44.9 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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|
|
BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.8.0 pkginfo/1.8.2 readme-renderer/34.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.62.3 importlib-metadata/4.11.1 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.9.10
|
Release files / ffast-0.4.10-py3-none-any.whl
| Download URL | ffast-0.4.10-py3-none-any.whl |
|---|---|
| Size | 45.7 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
c600a045dd54b4bd94d25c051a6e0f2fb65f1c87c3557ddeb930eb3f1bbc60ed
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BLAKE2b-256 checksum How to use checksums |
e3f15de6e421cc2f268bfd0de2cd4eed197a0607f73c9ae1a540d7bd4d4507a0
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.8.0 pkginfo/1.8.2 readme-renderer/34.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.62.3 importlib-metadata/4.11.1 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.9.10
|
Security for ffast 0.4.10
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