codeBERTa-csharp safetensors download (334 MB) | Hugging Bay

Q: What is this model?

fasterinnerlooper/codeBERTa-csharp is an open-weights language model for masked-language modeling published by fasterinnerlooper, added to Hugging Bay Sep 25, 2026. Model from Hugging Face for fill mask: fasterinnerlooper/codeBERTa-csharp · transformers

Q: Can I use it commercially?

It is released under the mit license. Commercial use is allowed. Permissive open license: commercial use, modification, and redistribution are permitted.

Q: How big is it?

Hosted here: 5 files, 336.2 MB. Full repo upstream: 337.6 MB. The recommended download, model.safetensors, is 334 MB.

Q: What can I download here?

Hosted here: 5 files, 336.2 MB. Full repo upstream: 337.6 MB. The original release is at https://huggingface.co/fasterinnerlooper/codeBERTa-csharp.

Q: File pattern scans

Automated file-pattern scans flagged nothing; not a safety guarantee. 5 hosted files carry a published SHA-256 you can re-hash. The machine-readable verdict is at /api/artifacts/hf-model-fasterinnerlooper-codeberta-csharp/safety on Hugging Bay.

Q: Will fasterinnerlooper/codeBERTa-csharp run on my computer?

We can’t check the fit; we don’t know your machine. We don’t have your machine’s specs, so no check ran and no verdict is shown. Answer two quick questions and we’ll estimate, from the memory you tell us, whether it fits your machine. Or skip it; you can still download; fit isn’t checked.

fasterinnerlooper

codeBERTa-csharp

fasterinnerlooper/codeBERTa-csharp

masked-language modelingLicense: mitHashes recordedsafetensors · BIN

Content controls: not assessed.

Model from Hugging Face for fill mask: fasterinnerlooper/codeBERTa-csharp · transformers

View as JSON →

5 hosted of 10 listed

Hashes recorded. Date not recorded.

File	Größe	SHA-256	Quelle	Herunterladen
Weights
`model.safetensors` Default	334 MB	`d5ccfff5…baf50cfe` `d5ccfff5f29e4f915cb687dfc6376be04a5e881299d8697e48b84061baf50cfe`	Hosted	Herunterladen
`training_args.bin`	4.54 KB	`047c6b6b…0f16a279` `047c6b6bfba1c0612bb4b109d57ae5fa34fb052b1e7bbcb6159940cd0f16a279`	Upstream only	File metadata
Tokenizer & config
`config.json`	693 bytes	`f03de469…f6d58661` `f03de469c883f5fabaed6cf457fb7abb091a87472c50f04355041aeaf6d58661`	Hosted	Herunterladen
`merges.txt`	482.5 KB	—	Upstream only	File metadata
`special_tokens_map.json`	958 bytes	`f23c8e60…1863e857` `f23c8e6099631c233c16d9bf8dab198f610826cdd1b358f270f6d55c1863e857`	Hosted	Herunterladen
`tokenizer.json`	2.21 MB	`0426897f…d1049dd0` `0426897f46220d6e3a80b07a2ef65e21bcba22cd196471a198ae11e0d1049dd0`	Hosted	Herunterladen
`tokenizer_config.json`	1.34 KB	`09ce6e5b…335dde70` `09ce6e5b39ab11258d14972c46e87001395eaf6c5b21127bdd9ba4c2335dde70`	Hosted	Herunterladen
`vocab.json`	837.8 KB	—	Upstream only	File metadata
Docs
`.gitattributes`	1.52 KB	—	Upstream only	File metadata
`README.md`	1.18 KB	—	Upstream only	File metadata

Einen Download prüfen

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.

codeBERTa-csharp

Einen Download prüfen

Cookies