Instructions to use trl-internal-testing/tiny-Qwen2AudioForConditionalGeneration with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use trl-internal-testing/tiny-Qwen2AudioForConditionalGeneration with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("trl-internal-testing/tiny-Qwen2AudioForConditionalGeneration") model = AutoModelForMultimodalLM.from_pretrained("trl-internal-testing/tiny-Qwen2AudioForConditionalGeneration", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download chat_template.jinja from trl-internal-testing/tiny-Qwen2AudioForConditionalGeneration: direct link, hf CLI and curl.
- Browser
- Download file 746 Bytes
-
https://huggingface.co/trl-internal-testing/tiny-Qwen2AudioForConditionalGeneration/resolve/main/chat_template.jinja
- Command line
-
hf download hf://trl-internal-testing/tiny-Qwen2AudioForConditionalGeneration/chat_template.jinja
-
curl -L -o chat_template.jinja https://huggingface.co/trl-internal-testing/tiny-Qwen2AudioForConditionalGeneration/resolve/main/chat_template.jinja
746 Bytes
| {% set audio_count = namespace(value=0) %}{% 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 'audio' in content or 'audio_url' in content or message['type'] == 'audio' or content['type'] == 'audio' %}{% set audio_count.value = audio_count.value + 1 %}Audio {{ audio_count.value }}: <|audio_bos|><|AUDIO|><|audio_eos|> | |
| {% elif 'text' in content %}{{ content['text'] }}{% endif %}{% endfor %}<|im_end|> | |
| {% endif %}{% endfor %}{% if add_generation_prompt %}<|im_start|>assistant | |
| {% endif %} |