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: 145 Bytes
56ad59e | 1 2 3 4 5 6 7 8 | {
"decoder_start_token_id": 50257,
"eos_token_id": 50257,
"max_length": 128,
"pad_token_id": 50257,
"transformers_version": "4.57.3"
}
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