AbelZimba_whisper-bemba-stt

Get this model

Seeders: — · Leechers: —

—

Model card

The complete upstream card, rendered from this payload's README.md — the same hash-verified bytes the torrent distributes. Images and off-site links are removed; the original card on Hugging Face carries them.

library_name: transformers tags: []

Model Card for Model ID

Model Details

Model Description

This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.

Developed by: [More Information Needed]
Funded by [optional]: [More Information Needed]
Shared by [optional]: [More Information Needed]
Model type: [More Information Needed]
Language(s) (NLP): [More Information Needed]
License: [More Information Needed]
Finetuned from model [optional]: [More Information Needed]

Model Sources [optional]

Repository: [More Information Needed]
Paper [optional]: [More Information Needed]
Demo [optional]: [More Information Needed]

Uses

Direct Use

[More Information Needed]

Downstream Use [optional]

[More Information Needed]

Out-of-Scope Use

[More Information Needed]

Bias, Risks, and Limitations

[More Information Needed]

Recommendations

Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.

How to Get Started with the Model

Use the code below to get started with the model.

[More Information Needed]

Training Details

Training Data

[More Information Needed]

Training Procedure

Preprocessing [optional]

[More Information Needed]

Training Hyperparameters

Training regime: [More Information Needed]

Speeds, Sizes, Times [optional]

[More Information Needed]

Evaluation

Testing Data, Factors & Metrics

Testing Data

[More Information Needed]

Factors

[More Information Needed]

Metrics

[More Information Needed]

Results

[More Information Needed]

Summary

Model Examination [optional]

[More Information Needed]

Environmental Impact

Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).

Hardware Type: [More Information Needed]
Hours used: [More Information Needed]
Cloud Provider: [More Information Needed]
Compute Region: [More Information Needed]
Carbon Emitted: [More Information Needed]

Technical Specifications [optional]

Model Architecture and Objective

[More Information Needed]

Compute Infrastructure

[More Information Needed]

Hardware

[More Information Needed]

Software

[More Information Needed]

Citation [optional]

BibTeX:

[More Information Needed]

APA:

[More Information Needed]

Glossary [optional]

[More Information Needed]

More Information [optional]

[More Information Needed]

Model Card Authors [optional]

[More Information Needed]

Model Card Contact

[More Information Needed]

Magnet link

Opens the swarm directly in your torrent client — no file download needed. Copy-paste works too:

magnet:?xt=urn:btih:f7e342aeddeddd60f491631da94fdfb7cc62f8e8&dn=AbelZimba_whisper-bemba-stt

Open magnet in torrent client · infohash f7e342aeddeddd60f491631da94fdfb7cc62f8e8

Files & hashes

Path	Size	sha1	sha256
README.md	5.1 KB (5,174 B)	bc5f30d6632ac0efdc7be2e9095e9e9579af2e33	0336368f8274a5ed09f54cee8d56a851ecee96026d9f391a6735762c16608a60
added_tokens.json	33.8 KB (34,604 B)	e3d256c988462aa153dcabe2aa38b8e9b436c06f	9715fd2243b6f06a5858b5e32950d2853f73dd5bc201aafcf76f5082a2d8acd1
config.json	1.2 KB (1,225 B)	761e097ed7a960a7b5c332e9fdc763cb7089a2f4	71c9d34235623e4203b1800a856161f45fbab6dda43a677b59d6e15c9b477681
generation_config.json	2.9 KB (3,005 B)	6cb2bcf15507b0faba090f4391c8a79676024b47	e93adccef49f161ad699b3bf6a64a8c407d24c9ab1101c6d8c45208e2e26ff06
merges.txt	482.3 KB (493,869 B)	6038932a2a1f09a66991b1c2adae0d14066fa29e	2df2990a395e35e8dfbc7511e08c12d56018d8d04691e0133e5d63b21e154dc6
model.safetensors	922.2 MB (966,995,080 B)	fcafe4cda45ca6c1489df5885bdc56f81ab329eb	5d437a482e426c10cf9a82efaecaa6d82936bf6e1ae40a3662088308a6ec0a46
normalizer.json	51.4 KB (52,666 B)	dd6ae819ad738ac1a546e9f9282ef325c33b9ea0	bf1c507dc8724ca9cf9903640dacfb69dae2f00edee4f21ceba106a7392f26dd
preprocessor_config.json	356 B (356 B)	d7c5b1dfd466c815664b16139e8f605620d22e4e	994838f1fa6462c8b9b3c90edada831f11f3dd8b4664634e18f4694d005c9dbf
special_tokens_map.json	2.1 KB (2,194 B)	bf69932dca4b3719b59fdd8f6cc1978109509f6c	e67ae3a0aaa99abcd9f187138e12db1f65c16a14761c50ef10eef2c174a7a691
tokenizer.json	3.7 MB (3,930,494 B)	7e30a8ca85fc59e4ce975a4e6d488771714891fb	7b469ff15eb7816315aa45eec391f5943d639b9d73d110f5c003df5192fd54e3
tokenizer_config.json	276.1 KB (282,713 B)	3ae24e088bb83a2aaa76a3bf6e3f1cef13e78b53	21a4fc0483c14b87f4e0bbc177a9a357479bfa7c95aaf21ad53d71e9c5afafb9
vocab.json	816.0 KB (835,550 B)	d7016e21da8776c8a9d577d0f559600f09a240eb	8f680bba319e01a653d2e8a5dbc17a9157179e0576e6ce74ce0c06356c6e24f9

Cite this release

Canonical URL: https://aiseedbank.org/models/AbelZimba_whisper-bemba-stt/
Slug: AbelZimba_whisper-bemba-stt
Infohash: f7e342aeddeddd60f491631da94fdfb7cc62f8e8
License: no license recorded
Signing key fingerprint: 85a3b32c3712427b

Every file carries a locally computed sha256 — verify a download against the signed sums: AbelZimba_whisper-bemba-stt.SHA256SUMS (+ minisign signature).

Provenance

Upstream repository	AbelZimba/whisper-bemba-stt
Revision (pinned)	684798370177f4332db4bc4895ff15d896e17603
Fetched at	2026-09-03T17:05:17Z
License at fetch	no license recorded
Snapshot tool	huggingface · seedbank 0.1.0

Trackers

udp://announce.aitorrent.org:6969/announce
http://announce.aitorrent.org:7070/announce
udp://announce2.aitorrent.org:6970/announce
http://announce2.aitorrent.org:7071/announce
udp://tracker.opentrackr.org:1337/announce
udp://open.demonii.com:1337/announce
udp://open.stealth.si:80/announce
udp://exodus.desync.com:6969/announce
udp://tracker.torrent.eu.org:451/announce

✓ verified · rehash-vs-hf-metadata at 2026-09-03T17:05:32Z

no license recorded927.6 MB (972,636,930 bytes)transformerssafetensorswhisperautomatic-speech-recognitionendpoints_compatiblepaper: 1910.09700