Automatic Speech Recognition
Transformers
Safetensors
PyTorch
mini_whisper
text2text-generation
custom_code
Instructions to use NeuraCraft/MiniWhisper-ASR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NeuraCraft/MiniWhisper-ASR with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="NeuraCraft/MiniWhisper-ASR", trust_remote_code=True)# Load model directly from transformers import AutoModelForSeq2SeqLM model = AutoModelForSeq2SeqLM.from_pretrained("NeuraCraft/MiniWhisper-ASR", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
File size: 150 Bytes
f1bdcb4 | 1 2 3 4 5 6 7 8 9 | {
"feature_size": 80,
"sampling_rate": 16000,
"hop_length": 160,
"n_fft": 400,
"chunk_length": 30,
"padding_value": 0.0,
"dither": 0.0
} |