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Model reference · open weights

tekyerema-asr-ctc-twi

Available as managed deployment Licence fee Audio PrinceAlhassanNasamu · community Speech→text 1 variants 522 dl/mo

tekyerema-asr-ctc-twi is an open-weight audio or speech model from PrinceAlhassanNasamu. AxForge deploys and operates it for you on dedicated EU-owned hardware — with the licence handled where one is required.

Request deployment All audio & music

Available as managed deployment — configured and operated for you on dedicated EU hardware, quoted per deployment.

What it is

Released byPrinceAlhassanNasamu
TypeAudio & music
TaskSpeech→text
Parameters (lead)606M
Runs withtransformers
Based onPrinceAlhassanNasamu/tekyerema-asr-ctc
Released2026-09-01
Popularity522 downloads / month
LicenceCommercial licence needed

About

What tekyerema-asr-ctc-twi is

This model is a fine-tuned version of PrinceAlhassanNasamu/tekyerema-asr-ctc on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.2192
Read the full model card

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 1.5e-05
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 16
  • optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_ratio: 0.1
  • training_steps: 1000

Training results

Training LossEpochStepValidation Loss
0.42510.475110000.2192

Framework versions

  • Transformers 4.57.6
  • Pytorch 2.10.0+cu128
  • Datasets 5.0.0
  • Tokenizers 0.22.2

From the published model card. Full card on the HuggingFace links in the sidebar.

Using it via the API

Call it like any OpenAI endpoint

Once AxForge deploys tekyerema-asr-ctc-twi for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (tekyerema-asr-ctc-twi below is illustrative; you get the exact model name on deployment.)

$ curl -sS https://api.axforge.ai/v1/audio/transcriptions \
  -H "Authorization: Bearer $AXFORGE_API_KEY" \
  -F model="tekyerema-asr-ctc-twi" -F file=@audio.mp3

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