Automatic Speech Recognition
Transformers
Safetensors
PyTorch
English
parakeet_rnnt
feature-extraction
speech
audio
Transducer
FastConformer
Conformer
NeMo
hf-asr-leaderboard
Transformers
Eval Results (legacy)
Instructions to use eustlb/parakeet-rnnt-0.6b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use eustlb/parakeet-rnnt-0.6b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="eustlb/parakeet-rnnt-0.6b")# Load model directly from transformers import AutoModelForMultimodalLM model = AutoModelForMultimodalLM.from_pretrained("eustlb/parakeet-rnnt-0.6b", dtype="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "blank_token": "<blank>", | |
| "decoder_type": "rnnt", | |
| "feature_extractor": { | |
| "feature_extractor_type": "ParakeetFeatureExtractor", | |
| "feature_size": 80, | |
| "hop_length": 160, | |
| "n_fft": 512, | |
| "padding_side": "right", | |
| "padding_value": 0.0, | |
| "preemphasis": 0.97, | |
| "return_attention_mask": true, | |
| "sampling_rate": 16000, | |
| "win_length": 400 | |
| }, | |
| "processor_class": "ParakeetProcessor" | |
| } | |