Automatic Speech Recognition
Transformers
NeMo
Safetensors
PyTorch
parakeet_tdt
feature-extraction
speech
audio
Transducer
Transformer
TDT
FastConformer
Conformer
NeMo
hf-asr-leaderboard
Transformers
Eval Results (legacy)
Eval Results
Instructions to use nvidia/parakeet-tdt-0.6b-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nvidia/parakeet-tdt-0.6b-v3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="nvidia/parakeet-tdt-0.6b-v3", device_map="auto")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("nvidia/parakeet-tdt-0.6b-v3", dtype="auto", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
File size: 268 Bytes
c8f5c22 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 | {
"_from_model_config": true,
"decoder_start_token_id": 8192,
"output_attentions": false,
"output_hidden_states": false,
"pad_token_id": 2,
"suppress_tokens": [
8193,
8194,
8195,
8196,
8197
],
"transformers_version": "5.6.0.dev0"
}
|