Whisper Small

OpenAI's Whisper small encoder-decoder ASR model, exported for loom.cpp.

This is a loom.cpp export: a single self-describing GGUF that carries its own graph topologies, tokenizer (if any) and driver script, produced by loom-exporter.

Original model

Exported from openai/whisper-small. Weights are unmodified; this repo packages the same parameters into loom.cpp's GGUF format.

License

apache-2.0, inherited from the base model above.

Language(s)

en, zh, de, es, ru, ko, fr, ja, pt, tr, pl, ca, nl, ar, sv, it, id, hi, fi, vi, he, uk, el, ms, cs, ro, da, hu, ta, no, th, ur, hr, bg, lt, la, mi, ml, cy, sk, te, fa, lv, bn, sr, az, sl, kn, et, mk, br, eu, is, hy, ne, mn, bs, kk, sq, sw, gl, mr, pa, si, km, sn, yo, so, af, oc, ka, be, tg, sd, gu, am, yi, lo, uz, fo, ht, ps, tk, nn, mt, sa, lb, my, bo, tl, mg, as, tt, haw, ln, ha, ba, jw, su

Usage

Run it with loom-py -- loom-py-rt on PyPI:

pip install loom-py-rt[hub]

import loom

model = loom.Model.from_pretrained("loom-ai-org/whisper-small-loom")
transcript = model.detokenize(model.infer(waveform=audio, audio_samples=len(audio)))
print(transcript)

model.driver_source prints the exact driver script this GGUF embeds, including a header comment documenting every argument model.infer()/model.generate() accepts for this model.