Automatic Speech Recognition
Transformers
Safetensors
ONNX
English
wav2vec2
speech
asr
ctc
common-voice
sagemaker
huggingface
jiwer
Instructions to use Amirhossein75/ASR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Amirhossein75/ASR with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Amirhossein75/ASR")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("Amirhossein75/ASR") model = AutoModelForCTC.from_pretrained("Amirhossein75/ASR") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fb92942ae6cbcd090bfc5fd87b7054d142c67f3d0272df39c7a9da8732992edb
- Size of remote file:
- 5.71 kB
- SHA256:
- a9cba31fd4255baf7e6305ebac13c743b33afc15c1bdd2b558cd607bde497444
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