Instructions to use KasuleTrevor/Qwen2-RUNY-Intent with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use KasuleTrevor/Qwen2-RUNY-Intent with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2-Audio-7B-Instruct") model = PeftModel.from_pretrained(base_model, "KasuleTrevor/Qwen2-RUNY-Intent") - Notebooks
- Google Colab
- Kaggle
Download chat_template.jinja from KasuleTrevor/Qwen2-RUNY-Intent: direct link, hf CLI and curl.
- Browser
- Download file 716 Bytes
-
https://huggingface.co/KasuleTrevor/Qwen2-RUNY-Intent/resolve/main/chat_template.jinja
- Command line
-
hf download hf://KasuleTrevor/Qwen2-RUNY-Intent/chat_template.jinja
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curl -L -o chat_template.jinja https://huggingface.co/KasuleTrevor/Qwen2-RUNY-Intent/resolve/main/chat_template.jinja
716 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' %}{% 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 %} |