Automatic Speech Recognition
MLX
NeMo
Belarusian
conformer
ctc
apple-silicon
speech-recognition
asr
belarusian
Instructions to use molind/conformer-ctc-be-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use molind/conformer-ctc-be-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir conformer-ctc-be-mlx molind/conformer-ctc-be-mlx
- NeMo
How to use molind/conformer-ctc-be-mlx with NeMo:
import nemo.collections.asr as nemo_asr asr_model = nemo_asr.models.ASRModel.from_pretrained("molind/conformer-ctc-be-mlx") transcriptions = asr_model.transcribe(["file.wav"]) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
Upload model_weights.ckpt with huggingface_hub
Browse files- model_weights.ckpt +3 -0
model_weights.ckpt
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version https://git-lfs.github.com/spec/v1
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oid sha256:b1ddf67e0dd18681c0612e203d7590dd79f648fb7f7b4469a221a644a40843f4
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size 486435917
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