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AI models that run on this device.

Two small chat models run in a computer’s browser here; every other model is a file you download.

medkit

DrBERT-CASM2

Can I run DrBERT-CASM2 on my computer?

It depends on your memory, processor, file format and runtime. Hugging Bay offers 5 hosted files; check the file list for the exact selection. A file-size fit is an estimate, not a successful run or speed promise. Read the license before use.

DrBERT-CASM2 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: 4ebaffebd7050c6fb415bf3ca942d36bcb5feab62c817138c1bf57b2eca6a72e. 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 .

medkit/DrBERT-CASM2
Model details
token classificationLicense: mitSHA-256 recorded for 6 of 11 filessafetensors · BIN

Content controls: not assessed.

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

5 hosted of 11 listed

Hashes recorded. Date not recorded.

FileTamañoSHA-256OrigenDescargar
Weights
model.safetensors Default435.6 MB
4ebaffeb…eca6a72e4ebaffebd7050c6fb415bf3ca942d36bcb5feab62c817138c1bf57b2eca6a72e
HostedDescargar
pytorch_model.bin435.7 MB
3526e3c3…5c6c31463526e3c39fd476e1004854f34ad46f2088a51998aff0d7a25aa9e2f25c6c3146
Upstream onlyFile metadata
Tokenizer & config
config.json959 bytes
8378a759…20f9dacb8378a7598c1d5d6c7024d9a634f9a5793fb987ed6e9ae2e79b8b77e720f9dacb
HostedDescargar
history.json3.45 KB—Upstream onlyFile metadata
tokenizer.json706.3 KB
f655a79b…6edb670ff655a79b7777510921226b8ba0889c0b13ef35900783d33101c3ab686edb670f
HostedDescargar
tokenizer_config.json415 bytes
c4b3d4ce…19a7fda5c4b3d4ceea247faaed70f79575c3b0bd8312f162688ee8386aee62c919a7fda5
HostedDescargar
trainer_config.yml201 bytes—Upstream onlyFile metadata
vocab.txt226.2 KB—Upstream onlyFile metadata
special_tokens_map.json125 bytes
b6d346be…76237ee3b6d346be366a7d1d48332dbc9fdf3bf8960b5d879522b7799ddba59e76237ee3
HostedDescargar
Docs
.gitattributes1.52 KB—Upstream onlyFile metadata
README.md5.04 KB—Upstream onlyFile metadata

Comprobar una descarga

In the folder where you saved model.safetensors, run:

macOS
shasum -a 256 -- 'model.safetensors'
Linux
sha256sum -- 'model.safetensors'
Windows
Get-FileHash -LiteralPath 'model.safetensors' -Algorithm SHA256

Compare the result with the recorded SHA-256.