Automatic Speech Recognition
Transformers
PyTorch
Safetensors
English
bart
text2text-generation
audio
speech
asr
hubert
Instructions to use voidful/asr_hubert_cluster_bart_base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use voidful/asr_hubert_cluster_bart_base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="voidful/asr_hubert_cluster_bart_base")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("voidful/asr_hubert_cluster_bart_base") model = AutoModelForSeq2SeqLM.from_pretrained("voidful/asr_hubert_cluster_bart_base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2d03e15b6f30c8a9138cf4de913f047449afd87379a621bc11d9580903598868
- Size of remote file:
- 715 MB
- SHA256:
- 33df26aa77bcfd0750492fa17e292fd917147c144a151dd22e969c1d5f74e8ba
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