airesearch/wav2vec2-large-xlsr-53-th
automatic-speech-recognition model by airesearch
From the publisher
Model card & documentation
Source previewRead the publisher’s intended use, setup instructions, evaluations and limitations. The original model card is the source of truth.
Finetuning wav2vec2-large-xlsr-53 on Thai Common Voice 7.0 Read more on our blog We finetune wav2vec2-large-xlsr-53 based on Fine-tuning Wav2Vec2 for English ASR using Thai examples of Common Voice Corpus 7.0. The notebooks and scripts can be found in vistec-ai/wav2vec2-large-xlsr-53-th. The pretrained model and processor can be found at airesearch/wav2vec2-large-xlsr-53-th. Add syllabletokenize, wordtokenize (PyThaiNLP) and deepcut tokenizers to eval.py from robust-speech-event Common Voice Corpus 7.0](https://commonvoice.mozilla.org/en/datasets) contains 133 validated hours of Thai (255 total hours) at 5GB. We pre-tokenize with pythainlp.tokenize.wordtokenize. We preprocess the dataset using cleaning rules described in notebooks/cv-preprocess.ipynb by @tann9949. We then deduplicate and split as described in ekapolc/Thaicommonvoicesplit in order to 1) avoid data leakage due to random splits after cleaning in Common Voice Corpus 7.0 and 2) preserve the majority of the data for the training set. The dataset loading script is scripts/thcommonvoice70.py. You can use this scripts together with traincleand.tsv,…
Read the full model card ↗ · Preview checked 2026-10-29T21:07:20.328Z
Inside the original model card — Document outline
- wav2vec2-large-xlsr-53-th
- robust-speech-event
- Eval results on Common Voice 7 "test":
- Usage
- Datasets
- Training
- Evaluation
- LICENSE
- Ackowledgements
Headings are captured from the source. Links open the publisher’s document, not a locally hosted copy.
Links from the model card
References supplied by the publisher, not independently verified endorsements. Check the destination before downloading files or entering credentials.
Documentation belongs to its respective authors. Reported project/model license: cc-by-sa-4.0. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
Model overview
airesearch/wav2vec2-large-xlsr-53-th is a automatic-speech-recognition model repository published by airesearch on Hugging Face. The source reports the transformers library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- automatic-speech-recognition
- Library
- transformers
- Recent downloads (30 days)
- 1,438,907
- Cumulative likes
- 39
- Hugging Face trending score
- 0
- Reported safetensors parameters
- Not reported
- Architecture
- Wav2Vec2ForCTC
- License
- cc-by-sa-4.0
- Access
- Not gated by Hugging Face
- Created
- 2022-03-02T23:29:05.000Z
- Last modified
- 2022-03-23T18:24:45.000Z
Compatibility and lineage
Reported languages: th
Base-model lineage was not included.
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
Check license terms and access requirements first. Review the model card’s documented loading instructions, evaluations and safety limitations. Benchmark scores are not imported by this directory, and popularity is not an accuracy ranking.
No model weights are downloaded or executed by AltAPIs. Never enable remote model code without reviewing it.
Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-11-01T06:51:32.899Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.
Related models
jonatasgrosman/wav2vec2-large-xlsr-53-japanese