pythainlp

thainer corpus v2 base model

Classify & tag

This receipt records checks for this exact file; it does not prove safety or that it will run on your device. Read the receipt

Model details
token classificationLicense: cc-by-4.0SHA-256 recorded for 8 of 9 filessafetensors · BIN
Quick answer: compatibility and sources

Can I run thainer-corpus-v2-base-model on my computer?

It depends on your memory, processor, file format and runtime. A download is not confirmed by the current file evidence; inspect the file record before trying it. A file-size fit is an estimate, not a successful run or speed promise. Read the license before use.

thainer-corpus-v2-base-model is an open-weights language model for token classification. Model weights are learned parameters; a runtime loads them. A hosted file is an individual file Hugging Bay can serve. SHA-256 identifies exact file bytes. The availability date above applies to this file record, not the upstream metadata update date.

As of the recorded file availability check on .

Recorded SHA-256 for model.safetensors: 82c9a1d7d16d985cbc3217a601d7cde5eb01f84f687f5a9466837a992ee6040f. Exact file evidence · Machine-readable source facts · Run evidence and any recorded receipts. A checksum fingerprints only the named file bytes; it does not prove safety, quality, a complete multi-file selection or a successful run.

Updated · Page-copy source revision 8871bab84e1cf80aea1686a944ec335078a6c036 · Source files: apps/web/lib/model-page-template.mjs, apps/web/lib/model-page-v3.mjs, apps/web/lib/aeo-page.mjs · Full revision record

Model metadata: As of at the model source. Popularity counters are source-reported, not measured by Hugging Bay. Availability checked .

Key facts

Catalog record
Summarizes upstream metadata; it is not itself a download or run receipt.
File evidence
Lists exact filenames, availability and any recorded SHA-256 for individual files.
Run evidence
Reports measured results only when a receipt exists for named file bytes and a setup; otherwise unmeasured.
Checksum scope
SHA-256 fingerprints one file’s bytes; it does not prove safety, quality or a multi-file bundle.

Evidence you can inspect (plain text)

  • This page’s quick answer names the file record for hf-model-pythainlp-thainer-corpus-v2-base-model.
  • Open /artifact/hf-model-pythainlp-thainer-corpus-v2-base-model/files for this exact filenames, availability and any recorded SHA-256.
  • Open /evidence/artifacts/hf-model-pythainlp-thainer-corpus-v2-base-model for run-readiness evidence tied to that record; absent receipts stay unmeasured.
  • Open /api/artifacts/hf-model-pythainlp-thainer-corpus-v2-base-model/card.md for machine-readable source facts (not a runtime test).
  • A matching checksum on this page fingerprints only the named bytes shown in file evidence.

Unmeasured states are stated explicitly; this page does not invent run scores or compatibility guarantees.

Which date applies to which fact

  • File availability check:
  • Committed page-copy sources:
  • Upstream model metadata: Dates on artifact records when shown; not implied by page-copy revision
  • Run receipts: Only on /evidence pages when recorded; otherwise unmeasured

Page-copy revision (Updated line above) identifies committed text sources, not upstream model edits or test outcomes.

Requirements and source record
pythainlp/thainer-corpus-v2-base-model

Content controls: not assessed.

The catalog lists this model for labeling parts of text. Catalog sources: license, cardMetadata.license, task, cardMetadata.pipelineTag.

Download availability is being checked.

Hashes recorded. Date not recorded.

FileTamanhoSHA-256OrigemBaixar
Weights
model.safetensors418.8 MB
82c9a1d7…2ee6040f82c9a1d7d16d985cbc3217a601d7cde5eb01f84f687f5a9466837a992ee6040f
Download availability is being checked.File metadata
pytorch_model.bin418.8 MB
8a9471ce…2539f23c8a9471ce65ce8721497d899e4c8a0e8e54579a310084b0e80ac6d5252539f23c
Download availability is being checked.File metadata
Tokenizer & config
config.json2.27 KB
d3e55ebb…47d81f0cd3e55ebb426e3a1dee7fbc65c12b5d9d8db3a65f2ee079ff88a7b7fc47d81f0c
Download availability is being checked.File metadata
sentencepiece.bpe.model904.7 KB
49c4ba4e…48ae114c49c4ba4e495ddf31eb2fdba7fc6aef3c233091d25d35bc9d24694ccf48ae114c
Download availability is being checked.File metadata
special_tokens_map.json364 bytes
2af35d18…4ff32d842af35d18222ef467c9b4c469ac33527a6cc86e028055056011f772cd4ff32d84
Download availability is being checked.File metadata
tokenizer.json2.18 MB
98a9a1aa…87a0259798a9a1aab83c245fe4a62898eaa94e4782ccafa043d53be646a62b1887a02597
Download availability is being checked.File metadata
tokenizer_config.json550 bytes
b53afe00…548e3138b53afe00de5e075e535c7e20edbfd410624c0468ef26854a32ccf194548e3138
Download availability is being checked.File metadata
Docs
.gitattributes1.48 KB—Download availability is being checked.File metadata
README.md4.91 KB
f529e590…49b2dd33f529e59010d170cebb35074e9821a57cce864dda0c4e26a74ffa789649b2dd33
Download availability is being checked.File metadata

Verificar um download

In the folder where you saved README.md, run:

macOS
shasum -a 256 -- 'README.md'
Linux
sha256sum -- 'README.md'
Windows
Get-FileHash -LiteralPath 'README.md' -Algorithm SHA256

Compare the result with the recorded SHA-256.