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")# pip install -U transformers accelerate # 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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from voidful/asr_hubert_cluster_bart_base: direct link, hf CLI and curl.
- Browser
- Download file 1.42 MB
-
https://huggingface.co/voidful/asr_hubert_cluster_bart_base/resolve/refs%2Fpr%2F1/tokenizer.json
- Command line
-
hf download hf://voidful/asr_hubert_cluster_bart_base@refs/pr/1/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/voidful/asr_hubert_cluster_bart_base/resolve/refs%2Fpr%2F1/tokenizer.json
1.42 MB
File too large to display, you can check the raw version instead.