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-CASM25 hosted of 11 listed
Hashes recorded. Date not recorded.
| File | Tamaño | SHA-256 | Origen | Descargar |
|---|---|---|---|---|
| Weights | ||||
model. Default | 435.6 MB |
| Hosted | Descargar |
pytorch_ | 435.7 MB |
| Upstream only | File metadata |
| Tokenizer & config | ||||
config. | 959 bytes |
| Hosted | Descargar |
history. | 3.45 KB | — | Upstream only | File metadata |
tokenizer. | 706.3 KB |
| Hosted | Descargar |
tokenizer_ | 415 bytes |
| Hosted | Descargar |
trainer_ | 201 bytes | — | Upstream only | File metadata |
vocab. | 226.2 KB | — | Upstream only | File metadata |
special_ | 125 bytes |
| Hosted | Descargar |
| Docs | ||||
. | 1.52 KB | — | Upstream only | File metadata |
README. | 5.04 KB | — | Upstream only | File metadata |
Comprobar una descarga
In the folder where you saved model.safetensors, run:
shasum -a 256 -- 'model.safetensors'
sha256sum -- 'model.safetensors'
Get-FileHash -LiteralPath 'model.safetensors' -Algorithm SHA256
Compare the result with the recorded SHA-256.