Automatic Speech Recognition
NeMo
Thai
English
speech
streaming
Thai
FastConformer
Transducer
NeMo
Nemotron
Instructions to use iapp/OpenThai2.0-ASR-Streaming with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- NeMo
How to use iapp/OpenThai2.0-ASR-Streaming with NeMo:
import nemo.collections.asr as nemo_asr asr_model = nemo_asr.models.ASRModel.from_pretrained("iapp/OpenThai2.0-ASR-Streaming") transcriptions = asr_model.transcribe(["file.wav"]) - Notebooks
- Google Colab
- Kaggle
Download benchmark/ids/gs2_long.jsonl from iapp/OpenThai2.0-ASR-Streaming: direct link, hf CLI and curl.
- Browser
- Download file 910 Bytes
-
https://huggingface.co/iapp/OpenThai2.0-ASR-Streaming/resolve/main/benchmark/ids/gs2_long.jsonl
- Command line
-
hf download hf://iapp/OpenThai2.0-ASR-Streaming/benchmark/ids/gs2_long.jsonl
-
curl -L -o gs2_long.jsonl https://huggingface.co/iapp/OpenThai2.0-ASR-Streaming/resolve/main/benchmark/ids/gs2_long.jsonl
910 Bytes
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