PSANN-LM
Language-model tasks for PSANN, packaged separately as psannlm. Version 2.0.1 requires psann>=2.0.1 and uses the typed task and architecture configuration API as its authoritative public surface.
Install core first, then this directory with python -m pip install ./psannlm from the repository root. PyTorch, NumPy, SentencePiece, tokenizers, datasets, Hugging Face Hub, and PyYAML are declared runtime dependencies.
Use PSANNLM, PSANNLMDataPrep, LMConfig, and LMArchitectureConfig from psannlm. Select one of four architecture kinds: transformer, residual, wave, or geometric-sparse. Spectral residual is a nested residual policy. Train with model.fit(data, train=TrainConfig(...)), generate with model.generate(...), and persist with save/load.
python -m psannlm --help
python -m psannlm train --help
python -m psannlm generate --help
The LM guide covers a complete small training example, YAML, tokenizer identity, and schema-v1 model/trainer checkpoints. The repository migration guide documents compatibility routes for older applications and artifacts. Core-only installations do not contain this package; LM artifacts contain no core package files.
1 maintainer
Metadata
1 maintainer
Release files for psannlm 2.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| psannlm-2.0.1.tar.gz | 83.9 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| psannlm-2.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 189.4 kB
Release files / psannlm-2.0.1.tar.gz
| Download URL | psannlm-2.0.1.tar.gz |
|---|---|
| Size | 83.9 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
5d0a734c14fdab87816f6c42f0ea8d50f71520429e5dc6a34b1a016a91c39dce
|
|
BLAKE2b-256 checksum How to use checksums |
9f68335f746f58db20c5451a6a946094c801ccb6ff4348effaa8bc573c06f0f5
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.11.9
|
Release files / psannlm-2.0.1-py3-none-any.whl
| Download URL | psannlm-2.0.1-py3-none-any.whl |
|---|---|
| Size | 105.6 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
bc3bccd48b44ce0211a43e28342b56b3eee2e5ba080303939bfdea4543768a45
|
|
BLAKE2b-256 checksum How to use checksums |
8318035ca194670cea3bb275d9cca9b03de61e35e1324d5b60816d54b5631b63
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.11.9
|
Security for psannlm 2.0.1
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.
