Automatic Speech Recognition
Transformers
Safetensors
PyTorch
arkasr
text-generation
speech
audio
multilingual
hotword
audio8
custom_code
Eval Results
Instructions to use Edge0/Audio8-ASR-0.1B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Edge0/Audio8-ASR-0.1B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Edge0/Audio8-ASR-0.1B", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("Edge0/Audio8-ASR-0.1B", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download chat_template.jinja from Edge0/Audio8-ASR-0.1B: direct link, hf CLI and curl.
- Browser
- Download file 327 Bytes
-
https://huggingface.co/Edge0/Audio8-ASR-0.1B/resolve/main/chat_template.jinja
- Command line
-
hf download hf://Edge0/Audio8-ASR-0.1B/chat_template.jinja
-
curl -L -o chat_template.jinja https://huggingface.co/Edge0/Audio8-ASR-0.1B/resolve/main/chat_template.jinja
327 Bytes
| {% for message in messages %}{% if loop.first and messages[0]['role'] != 'system' %}{{ '<|im_start|>system | |
| You are a helpful assistant<|im_end|> | |
| ' }}{% endif %}{{'<|im_start|>' + message['role'] + ' | |
| ' + message['content'] + '<|im_end|>' + ' | |
| '}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant | |
| ' }}{% endif %} |