Automatic Speech Recognition
Transformers
PyTorch
Safetensors
English
whisper
code
audio
speech-recognition
wav2vec2
Instructions to use harpertoken/harpertokenASR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use harpertoken/harpertokenASR with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="harpertoken/harpertokenASR")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("harpertoken/harpertokenASR") model = AutoModelForSpeechSeq2Seq.from_pretrained("harpertoken/harpertokenASR") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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by SFconvertbot - opened
- model.safetensors +3 -0
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oid sha256:fd2f111aa83fb383a91688d44746498684a524a8808e352247b87e29b3144686
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size 966995080
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