Automatic Speech Recognition
Transformers
Safetensors
PyTorch
parakeet_tdt
feature-extraction
speech
audio
Transducer
Transformer
TDT
FastConformer
Conformer
NeMo
hf-asr-leaderboard
Transformers
Eval Results (legacy)
Instructions to use TracNetwork/mayhem-catalog-nvidia-parakeet-tdt-0-6b-v3-Transformers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TracNetwork/mayhem-catalog-nvidia-parakeet-tdt-0-6b-v3-Transformers with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="TracNetwork/mayhem-catalog-nvidia-parakeet-tdt-0-6b-v3-Transformers")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("TracNetwork/mayhem-catalog-nvidia-parakeet-tdt-0-6b-v3-Transformers", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "backend": "tokenizers", | |
| "clean_up_tokenization_spaces": false, | |
| "eos_token": "<|endoftext|>", | |
| "model_max_length": 1000000000000000019884624838656, | |
| "pad_token": "<pad>", | |
| "processor_class": "ParakeetProcessor", | |
| "tokenizer_class": "ParakeetTokenizer", | |
| "unk_token": "<unk>" | |
| } | |