Automatic Speech Recognition
Transformers
Safetensors
fun_asr_nano
text-generation
speech-recognition
asr
end-to-end
multilingual
streaming
Instructions to use FunAudioLLM/Fun-ASR-Nano-2512-hf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FunAudioLLM/Fun-ASR-Nano-2512-hf with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="FunAudioLLM/Fun-ASR-Nano-2512-hf")# Load model directly from transformers import AutoModelForSeq2SeqLM model = AutoModelForSeq2SeqLM.from_pretrained("FunAudioLLM/Fun-ASR-Nano-2512-hf", dtype="auto") - Notebooks
- Google Colab
- Kaggle
| {% for message in messages %}{% if loop.first and message['role'] != 'system' %}<|im_start|>system | |
| You are a helpful assistant.<|im_end|> | |
| {% endif %}<|im_start|>{{ message['role'] }} | |
| {% if message['content'] is string %}{{ message['content'] }}<|im_end|> | |
| {% else %}{% for content in message['content'] %}{% if content['type'] == 'audio' %}<|object_ref_start|>{% elif content['type'] == 'text' %}{{ content['text'] }}{% endif %}{% endfor %}<|im_end|> | |
| {% endif %}{% endfor %}{% if add_generation_prompt %}<|im_start|>assistant | |
| {% endif %} |