Automatic Speech Recognition
Transformers
Safetensors
English
fela-asr-ctc
feature-extraction
fela
fourier-neural-operator
fno
cpu
on-device
streaming
ctc
constant-memory
custom_code
Instructions to use lowdown-labs/fela-streaming-asr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lowdown-labs/fela-streaming-asr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="lowdown-labs/fela-streaming-asr", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("lowdown-labs/fela-streaming-asr", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ebc97f9216f109fb266c11dc7cef7507c4a486375ac0ea8f316696e4b292a9a6
- Size of remote file:
- 258 MB
- SHA256:
- 50e461328e6a6e32c266586fbec67097c765f2b33c54666d7ba9457d8d748f7a
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