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: 252 Bytes
d641bbc | 1 2 3 4 5 6 7 8 9 10 11 12 | {
"_from_model_config": true,
"bos_token_id": 4,
"decoder_start_token_id": 7,
"eos_token_id": 3,
"output_attentions": false,
"output_hidden_states": false,
"pad_token_id": 2,
"transformers_version": "5.15.0.dev0",
"use_cache": true
}
|