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
| { | |
| "decoder_start_token_id": 50257, | |
| "eos_token_id": 50257, | |
| "max_length": 128, | |
| "pad_token_id": 50257, | |
| "transformers_version": "4.57.3" | |
| } | |