graphcodebert-base safetensors download | Hugging Bay

Q: What is this model?

claudios/graphcodebert-base is an embedding model for text embeddings published by claudios, added to Hugging Bay Jun 30, 2026. Model from Hugging Face for feature extraction: claudios/graphcodebert-base · 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: at least 5 listed files; full count and size unknown. Full repo upstream: 502 MB. The recommended download, model.safetensors, is 498.6 MB.

Q: What can I download here?

Hosted here: at least 5 listed files; full count and size unknown. Full repo upstream: 502 MB. The original release is at https://huggingface.co/claudios/graphcodebert-base.

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-claudios-graphcodebert-base/safety on Hugging Bay.

Q: Will claudios/graphcodebert-base 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.

claudios

graphcodebert-base

claudios/graphcodebert-base

text embeddingsLicense: mitHashes recordedsafetensors

Content controls: not assessed.

Model from Hugging Face for feature extraction: claudios/graphcodebert-base · transformers

View as JSON →

5 hosted of 9 listed

Hashes recorded. Date not recorded.

File	आकार	SHA-256	स्रोत	डाउनलोड करें
Weights
`model.safetensors` Default	498.6 MB	`e346d964…560e28ef` `e346d964e7bc72b99ae5ebf9c8b0c1d2df818edcfbc21b56c95aa1a3560e28ef`	Hosted	डाउनलोड करें
Tokenizer & config
`config.json`	740 bytes	`fe0fccc1…2a197c0a` `fe0fccc18d4f1cccab825c3ae067a2baf7f27653af2fe79bd4a984ad2a197c0a`	Hosted	डाउनलोड करें
`merges.txt`	456.3 KB	—	Upstream only	File metadata
`tokenizer.json`	2.11 MB	`76875c73…7c7f5881` `76875c73585f5ec48386c5b75680bfc0ccf3c93c2939d4a25b7018d57c7f5881`	Hosted	डाउनलोड करें
`tokenizer_config.json`	1.21 KB	`8ad1b784…33741ae3` `8ad1b784f9f6f8e610d5ea96503500d0bf3f73cf17da8ce801f7600833741ae3`	Hosted	डाउनलोड करें
`vocab.json`	798.3 KB	—	Upstream only	File metadata
`special_tokens_map.json`	957 bytes	`8293ae96…2eb2d4b7` `8293ae960b0a0852d4d3813118030a1149a3ed9fe37bc2e1e7b3c2e62eb2d4b7`	Hosted	डाउनलोड करें
Docs
`.gitattributes`	1.52 KB	—	Upstream only	File metadata
`README.md`	1.23 KB	—	Upstream only	File metadata

डाउनलोड की जाँच करें

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.

graphcodebert-base

डाउनलोड की जाँच करें

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