Model reference · open weights
whisper-small-khmer is an open-weight audio or speech model from seanghay. AxForge deploys and operates it for you on dedicated EU-owned hardware — with the licence handled where one is required.
Available as managed deployment — configured and operated for you on dedicated EU hardware, quoted per deployment.
What it is
| Released by | seanghay |
|---|---|
| Type | Audio & music |
| Task | Speech→text |
| Parameters (lead) | 242M |
| Runs with | transformers |
| Released | 2023-05-03 |
| Popularity | 825 downloads / month |
| Licence | Open weights |
About
This model is a fine-tuned version of openai/whisper-small on the openslr, google/fleurs and km-speech-corpus dataset.
It achieves the following results on the evaluation set:
This model is fine-tuned with Google FLEURS, OpenSLR (SLR42) and km-speech-corpus dataset.
from transformers import pipeline
pipe = pipeline(
task="automatic-speech-recognition",
model="seanghay/whisper-small-khmer-v2",
)
result = pipe("audio.wav",
generate_kwargs={
"language":"",
"task":"transcribe"},
batch_size=16
)
print(result["text"])
From the published model card. Full card on the HuggingFace links in the sidebar.
Benchmarks
As published on the model card — the maker's own numbers, not measured by AxForge.
| Task | Dataset | Metric | Score |
|---|---|---|---|
| Automatic Speech Recognition | Google FLEURS | Wer | 0.617 |
Using it via the API
Once AxForge deploys whisper-small-khmer for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (whisper-small-khmer 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="whisper-small-khmer" -F file=@audio.mp3
Create an account — your API key is available in the console. 3M free tokens every 30 days with every new account.