Automatic Speech Recognition
Transformers
Safetensors
PyTorch
arkasr
text-generation
speech
audio
multilingual
hotword
audio8
custom_code
Eval Results
Instructions to use AutoArk-AI/Audio8-ASR-0.1B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AutoArk-AI/Audio8-ASR-0.1B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="AutoArk-AI/Audio8-ASR-0.1B", trust_remote_code=True)# Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("AutoArk-AI/Audio8-ASR-0.1B", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
| from .hotword_trie import ( | |
| HotwordTrie, | |
| build_hotword_sequences, | |
| build_trie_from_hotwords, | |
| flatten_sequences, | |
| parse_hotwords, | |
| token_is_control_or_special, | |
| ) | |
| __all__ = [ | |
| "HotwordTrie", | |
| "build_hotword_sequences", | |
| "build_trie_from_hotwords", | |
| "flatten_sequences", | |
| "parse_hotwords", | |
| "token_is_control_or_special", | |
| ] | |