Automatic Speech Recognition
Transformers
PyTorch
speech-encoder-decoder
Generated from Trainer
asr_seq2seq
Instructions to use KBLab/asr-voxrex-bart-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KBLab/asr-voxrex-bart-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="KBLab/asr-voxrex-bart-base")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSpeechSeq2Seq tokenizer = AutoTokenizer.from_pretrained("KBLab/asr-voxrex-bart-base") model = AutoModelForSpeechSeq2Seq.from_pretrained("KBLab/asr-voxrex-bart-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from KBLab/asr-voxrex-bart-base: direct link, hf CLI and curl.
- Browser
- Download file 1.48 MB
-
https://huggingface.co/KBLab/asr-voxrex-bart-base/resolve/main/tokenizer.json
- Command line
-
hf download hf://KBLab/asr-voxrex-bart-base/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/KBLab/asr-voxrex-bart-base/resolve/main/tokenizer.json
1.48 MB
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