Automatic Speech Recognition
Transformers
Safetensors
PyTorch
arkasr
text-generation
speech
audio
multilingual
hotword
audio8
custom_code
Eval Results
Instructions to use Audio8/Audio8-ASR-0.1B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Audio8/Audio8-ASR-0.1B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Audio8/Audio8-ASR-0.1B", trust_remote_code=True)# Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("Audio8/Audio8-ASR-0.1B", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 361 Bytes
25ae981 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 | 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",
]
|