Automatic Speech Recognition
NeMo
Safetensors
PyTorch
canary
automatic-speech-translation
speech
audio
Transformer
FastConformer
Conformer
NeMo
hf-asr-leaderboard
Transformers
Eval Results (legacy)
Instructions to use CollectionStudio/canary-1b-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- NeMo
How to use CollectionStudio/canary-1b-v2 with NeMo:
import nemo.collections.asr as nemo_asr asr_model = nemo_asr.models.ASRModel.from_pretrained("CollectionStudio/canary-1b-v2") transcriptions = asr_model.transcribe(["file.wav"]) - Notebooks
- Google Colab
- Kaggle
File size: 328 Bytes
d641bbc | 1 2 3 4 5 6 7 8 9 10 11 12 | {
"backend": "tokenizers",
"bos_token": "<|startoftranscript|>",
"clean_up_tokenization_spaces": false,
"eos_token": "<|endoftext|>",
"model_max_length": 1000000000000000019884624838656,
"pad_token": "<pad>",
"processor_class": "CanaryProcessor",
"tokenizer_class": "TokenizersBackend",
"unk_token": "<unk>"
}
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