Model: devasheeshG/whisper_medium_fp16_transformers
Author: devasheeshG
Pipeline: automatic-speech-recognition
Library: transformers
Tags: transformers, pytorch, whisper, automatic-speech-recognition, audio, speech, wav2vec2, 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, license:apache-2.0, model-index, endpoints_compatible, region:us
Card metadata: license: apache-2.0
pipeline_tag: automatic-speech-recognition
tags: pytorch, audio, speech, automatic-speech-recognition, whisper, wav2vec2
model-index: name: whisper_medium_fp16_transformers
results: task: type: automatic-speech-recognition
name: Automatic Speech Recognition
dataset: type: librispeech_asr
name: LibriSpeech (clean)
config: clean
split: test
args: language: en
metrics: type: wer
value: 0
name: Test WER
description: Word Error Rate
verified: no, type: mer
value: 0
name: Test MER
description: Match Error Rate
verified: no, type: wil
value: 0
name: Test WIL
description: Word Information Lost
verified: no, type: wip
value: 0
name: Test WIP
description: Word Information Preserved
verified: no, type: cer
value: 0
name: Test CER
description: Character Error Rate
verified: no, task: type: automatic-speech-recognition
name: Automatic Speech Recognition
dataset: type: librispeech_asr
name: LibriSpeech (other)
config: other
split: test
args: language: en
metrics: type: wer
value: 0
name: Test WER
description: Word Error Rate
verified: no, type: mer
value: 0
name: Test MER
description: Match Error Rate
verified: no, type: wil
value: 0
name: Test WIL
description: Word Information Lost
verified: no, type: wip
value: 0
name: Test WIP
description: Word Information Preserved
verified: no, type: cer
value: 0
name: Test CER
description: Character Error Rate
verified: no, task: type: automatic-speech-recognition
name: Automatic Speech Recognition
dataset: type: mozilla-foundation/common_voice_14_0
name: Common Voice (14.0) (Hindi)
config: hi
split: test
args: language: hi
metrics: type: wer
value: 54.97
name: Test WER
description: Word Error Rate
verified: no, type: mer
value: 47.86
name: Test MER
description: Match Error Rate
verified: no, type: wil
value: 66.83
name: Test WIL
description: Word Information Lost
verified: no, type: wip
value: 33.16
name: Test WIP
description: Word Information Preserved
verified: no, type: cer
value: 30.23
name: Test CER
description: Character Error Rate
verified: no
widget: example_title: Hinglish Sample
src: https://huggingface.co/devasheeshG/whisper_medium_fp16_transformers/resolve/main/test.wav, example_title: Librispeech sample 1
src: https://cdn-media.huggingface.co/speech_samples/sample1.flac, example_title: Librispeech sample 2
src: https://cdn-media.huggingface.co/speech_samples/sample2.flac
language: 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
Likes: 2 | All-time downloads: 612
Created: 2023-07-02 11:04:37