Model reference · open weights

wav2vec2-xlsr-nepali

wav2vec2-xlsr-nepali is an open-weight audio or speech model from gagan3012, listed in the AxForge catalogue. AxForge can bring it up on EU-owned hardware for you on request — with the licence handled where one is required.

Audio gagan3012 1 variants 771k downloads/mo
Request this model on EU hardware All served models Not on the shared API today — deployed on request.

About

What wav2vec2-xlsr-nepali is

Wav2Vec2-Large-XLSR-53-Nepali Fine-tuned facebook/wav2vec2-large-xlsr-53 on Nepali using the Common Voice, and OpenSLR ne. When using this model, make sure that your speech input is sampled at 16kHz. Usage The model can be used directly (without a language model) as follows: Result Prediction: ['पारानाको ब्राजिली राज्यमा रहेको राजधानी', 'देवराज जोशी त्रिभुवन विश्वविद्यालयबाट शिक्षाशास्त्रमा स्नातक हुनुहुन्छ'] Reference: ['पारानाको ब्राजिली राज्यमा रहेको राजधानी', 'देवराज जोशी त्रिभुवन विश्वविद्यालयबाट शिक्षाशास्त्रमा स्नातक हुनुहुन्छ'] Evaluation The model can be evaluated as follows on the {language} test data of Common Voice. # TODO: replace #TODO: replace language with your {language}, e.g. French Test Result: 05.97 % Training The script used for training can be found here

Summarised from the published model card. Read the full card on the HuggingFace links below.

Specifications

What it is

Makergagan3012
TypeAudio & music
Variants1
Runs withtransformers
Released2022-03-02
Popularity771k downloads / month
Likes8
LicenceOpen weights

How it works

How audio & music work

Audio or textinputAudio modelrecognise / synthesiseText or audiooutputSpeech-to-text turns audio into text; text-to-speech and music models turn text into audio.

Variants

Sizes & precisions

Open weights ship in several sizes and precisions. One page, all the variants — pick the one that fits your GPU. VRAM figures are estimates from model size.

VariantParamsPrecisionVRAMFits 16 GBWeights
wav2vec2-xlsr-nepaliBF16Weights ↗

Benchmarks

Reported results

As published on the model card — the maker's own numbers, not measured by AxForge.

TaskDatasetMetricScore
Speech RecognitionOpenSLR neTest WER5.97

Using it via the API

Call it like any OpenAI endpoint

Once AxForge deploys wav2vec2-xlsr-nepali for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (wav2vec2-xlsr-nepali 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-nepali" -F file=@audio.mp3

Details

Languages, data & research

Languages

ne

Trained / evaluated on

OpenSLR common_voice

Tags

transformers pytorch jax wav2vec2 automatic-speech-recognition audio speech xlsr-fine-tuning-week ne dataset:OpenSLR dataset:common_voice model-index endpoints_compatible

Licence

Open weights

Open weights under apache-2.0 — commercial use is permitted. Deploy it on AxForge EU hardware on request. Read the licence ↗

Sources

Weights & code

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