Instructions to use enactic/avista-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use enactic/avista-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="enactic/avista-large", trust_remote_code=True)# Load model directly from transformers import AutoModelForSpeechSeq2Seq model = AutoModelForSpeechSeq2Seq.from_pretrained("enactic/avista-large", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
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057b47e | 1 2 3 4 5 6 7 | {
"auto_map": {
"AutoProcessor": "processing_avhubert.AVHubertProcessor"
},
"processor_class": "AVHubertProcessor"
}
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