python-code-explainer safetensors download | Hugging Bay

Q: What is this model?

sagard21/python-code-explainer is an open-weights language model for summarization published by sagard21, added to Hugging Bay Sep 24, 2026. Model from Hugging Face for summarization: sagard21/python-code-explainer · 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, 2.95 GB. Full repo upstream: 5.9 GB. The recommended download, model.safetensors, is 2.95 GB.

Q: What can I download here?

Hosted here: 5 files, 2.95 GB. Full repo upstream: 5.9 GB. The original release is at https://huggingface.co/sagard21/python-code-explainer.

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-sagard21-python-code-explainer/safety on Hugging Bay.

Q: Will sagard21/python-code-explainer 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.

sagard21

python-code-explainer

sagard21/python-code-explainer

summarizationLicense: mitHashes recordedsafetensors · BIN

Content controls: not assessed.

Model from Hugging Face for summarization: sagard21/python-code-explainer · transformers

View as JSON →

5 hosted of 10 listed

Hashes recorded. Date not recorded.

File	आकार	SHA-256	स्रोत	डाउनलोड करें
Weights
`model.safetensors` Default	2.95 GB	`8b8a32ab…e58ec00c` `8b8a32ab413be2b42ac6a21ac09453c1193a621a6b9a270d6be67f16e58ec00c`	Hosted	डाउनलोड करें
`pytorch_model.bin`	2.95 GB	`e8eaf24c…a9e08404` `e8eaf24cf06354f8adf76f137f0319cfb618cfd2abb19496c94fd3d3a9e08404`	Upstream only	File metadata
Tokenizer & config
`config.json`	1.5 KB	`785c3374…520d0ba7` `785c3374ed2d5bbb9977f75c706cbe3ae92f3d3e4d4ceb8b209db945520d0ba7`	Hosted	डाउनलोड करें
`merges.txt`	294.4 KB	—	Upstream only	File metadata
`special_tokens_map.json`	15.5 KB	`d756de58…e6303e03` `d756de5800e2f3b2643436ed5a8cdc2bc7b7a8598986bd372fd9c374e6303e03`	Hosted	डाउनलोड करें
`tokenizer.json`	1.37 MB	`20b1374e…780c2fd6` `20b1374e1ed97113ff9b6c91a742bb1b63b8a690b43127bb40551512780c2fd6`	Hosted	डाउनलोड करें
`tokenizer_config.json`	1.51 KB	`4968ba0d…8c7f9d5f` `4968ba0df957c12547c63deb1201dbc4f0a43db95b009ae67e42e4dd8c7f9d5f`	Hosted	डाउनलोड करें
`vocab.json`	510.8 KB	—	Upstream only	File metadata
Docs
`.gitattributes`	1.62 KB	—	Upstream only	File metadata
`README.md`	1.75 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.

python-code-explainer

डाउनलोड की जाँच करें

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