Automatic Speech Recognition
Transformers
PyTorch
Safetensors
English
bart
text2text-generation
audio
speech
asr
hubert
Instructions to use voidful/tts_hubert_cluster_bart_base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use voidful/tts_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/tts_hubert_cluster_bart_base")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("voidful/tts_hubert_cluster_bart_base") model = AutoModelForSeq2SeqLM.from_pretrained("voidful/tts_hubert_cluster_bart_base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Adding `safetensors` variant of this model (#1)
- Adding `safetensors` variant of this model (ed0d4fb8d3b0de08ab1266e873e9fc7fae8a6e40) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>2ddcf04
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update README result
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update config
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add README
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init commit
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initial commit
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