# bc7ec356/heep-indic

Model from Hugging Face for automatic speech recognition: bc7ec356/heep-indic · transformers

## Cite this

- Page: https://huggingbay.xyz/artifact/hf-model-bc7ec356-heep-indic
- Citation: bc7ec356/heep-indic. The Hugging Bay model record. https://huggingbay.xyz/artifact/hf-model-bc7ec356-heep-indic (retrieved 2026-11-14).
- Check a downloaded file: run `shasum -a 256 <file>` (macOS), `sha256sum <file>` (Linux) or `Get-FileHash -Algorithm SHA256 <file>` (Windows), then compare with that file's SHA-256 at https://huggingbay.xyz/api/artifacts/hf-model-bc7ec356-heep-indic/files?limit=100. How checks work: https://huggingbay.xyz/verification

## Facts

- Type: LLM
- Task: automatic-speech-recognition
- Framework: transformers
- License: apache-2.0: Permissive open license: commercial use, modification, and redistribution are permitted. (https://spdx.org/licenses/Apache-2.0.html)
- Source: https://huggingface.co/bc7ec356/heep-indic
- Hosting: hosted (9 files)
- Files: 9 hosted of 13 listed
- File counts: "listed" is every file in the source repository; only hosted files download from Hugging Bay, and the download plan lists the files it selects for one download, so its count can differ.
- Hosted here: 9 hosted of 13 listed
- Full repo upstream: 4.09 GB
- Recommended file: 4.08 GB · model.safetensors
- Download: https://huggingbay.xyz/api/artifacts/hf-model-bc7ec356-heep-indic/download-plan (download plan: https://huggingbay.xyz/api/artifacts/hf-model-bc7ec356-heep-indic/download-plan)
- Per-file SHA-256: available for 9 of 9 hosted files via https://huggingbay.xyz/api/artifacts/hf-model-bc7ec356-heep-indic/files?limit=100
- Availability: Ready
- Downloadable: yes
- Run-ready: no (Hugging Bay has not certified a run path for this model; hosted bytes are downloadable and hash-checkable only)
- Peer-assisted fallbacks: 0 verified, 0 pending review
- Downloads: 49
- Stars: 2
- Card completeness: 92%

## Description

External Hugging Face catalog record for bc7ec356/heep-indic. Task: automatic speech recognition. Library: transformers. Languages: hi, bn, te, mr, kn, ta, ml, gu. Files we host have a published SHA-256.

## Model Card Facts

- Declared license: apache-2.0
- Pipeline: automatic-speech-recognition
- Library: transformers
- Task categories: automatic-speech-recognition
- Languages: hi, bn, te, mr, kn, ta, ml, gu
- File hints: 13 upstream file samples

## File Hints

- .gitattributes (1.5 KB)
- README.md (12 KB)
- added_tokens.json (1.5 KB)
- chat_template.json (1.1 KB)
- config.json (6.0 KB)
- generation_config.json (142 B)
- merges.txt (1.6 MB)
- model.safetensors (3.8 GB) LFS
- preprocessor_config.json (330 B)
- special_tokens_map.json (1008 B)
- tokenizer.json (11 MB) LFS
- tokenizer_config.json (12 KB)

## Quality Checklist

- Summary: passed
- Description: passed
- Model card metadata: passed
- License: passed
- Provenance: passed
- File inventory: passed
- Hosted bytes: passed
- Scan result: passed
- Manifest signature: passed

## Safety Notes

- External catalog metadata imported from Hugging Face public API on 2026-10-01T12:28:08.688Z.
- Open license detected as apache-2.0.
- Not a run kit: hosted, hash-checked bytes only; run readiness is not certified for this model yet.

## Actions

- Web: https://huggingbay.xyz/artifact/hf-model-bc7ec356-heep-indic
- Files API: https://huggingbay.xyz/api/artifacts/hf-model-bc7ec356-heep-indic/files?limit=100
- Metadata: https://huggingbay.xyz/api/artifacts/hf-model-bc7ec356-heep-indic/metadata.json
- Distribution: https://huggingbay.xyz/api/artifacts/hf-model-bc7ec356-heep-indic/distribution
- Manifest: https://huggingbay.xyz/api/manifests/hf-model-bc7ec356-heep-indic
- Download plan (per-file SHA-256 + signed download URLs): https://huggingbay.xyz/api/artifacts/hf-model-bc7ec356-heep-indic/download-plan
- Hosted download rows: https://huggingbay.xyz/api/downloadable-files?artifactId=hf-model-bc7ec356-heep-indic&limit=100
- Request mirror: not applicable.
- Submit peer fallback for review: POST https://huggingbay.xyz/api/artifacts/hf-model-bc7ec356-heep-indic/decentralized-fallbacks