Model reference · open weights

wav2vec2-xlsr-53-ft-cy-en

Available as managed deployment Audio techiaith Speech→text 1 variants 2k dl/mo

wav2vec2-xlsr-53-ft-cy-en is an open-weight audio or speech model from techiaith. 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 bytechiaith
TypeAudio & music
TaskSpeech→text
Parameters (lead)315M
Runs withtransformers
Released2022-10-24
Popularity2k downloads / month
LicenceOpen weights

About

What wav2vec2-xlsr-53-ft-cy-en is

An acoustic encoder model for Welsh and English speech recognition, fine-tuned from facebook/wav2vec2-large-xlsr-53 using transcribed spontaneous speech from techiaith/banc-trawsgrifiadau-bangor (v24.01) as well as Welsh and English speech data derived from version 16.1 the Common Voice datasets techiaith/commonvoice_16_1_en_cy

Read the full model card

Usage

The wav2vec2-xlsr-ft-cy-en model can be used directly as follows:

import torch
import torchaudio
import librosa

from transformers import Wav2Vec2ForCTC, Wav2Vec2Processor

processor = Wav2Vec2Processor.from_pretrained("techiaith/wav2vec2-xlsr-ft-cy-en")
model = Wav2Vec2ForCTC.from_pretrained("techiaith/wav2vec2-xlsr-ft-cy-en")

audio, rate = librosa.load(audio_file, sr=16000)

inputs = processor(audio, sampling_rate=16_000, return_tensors="pt", padding=True)

with torch.no_grad():
  tlogits = model(inputs.input_values, attention_mask=inputs.attention_mask).logits

# greedy decoding
predicted_ids = torch.argmax(logits, dim=-1)

print("Prediction:", processor.batch_decode(predicted_ids))

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 wav2vec2-xlsr-53-ft-cy-en for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (wav2vec2-xlsr-53-ft-cy-en 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="wav2vec2-xlsr-53-ft-cy-en" -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.

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