Automatic Speech Recognition
MLX
Safetensors
Transformers
PyTorch
English
speech
audio
FastConformer
Conformer
NeMo
hf-asr-leaderboard
ctc
Instructions to use animaslabs/parakeet-ctc-0.6b-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use animaslabs/parakeet-ctc-0.6b-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir parakeet-ctc-0.6b-mlx animaslabs/parakeet-ctc-0.6b-mlx
- Transformers
How to use animaslabs/parakeet-ctc-0.6b-mlx with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="animaslabs/parakeet-ctc-0.6b-mlx")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("animaslabs/parakeet-ctc-0.6b-mlx", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
- Xet hash:
- 0f359fcaa4dbb0d132fd4659ee5649963f2733f7a2445d03a7cb2e4f91b829cc
- Size of remote file:
- 259 kB
- SHA256:
- 8f279c3951a1c280a99a108d07b429bd98c03c94ecd0270748bd7affca9c0817
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