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 tokenizer_config.json from trl-internal-testing/tiny-Qwen2AudioForConditionalGeneration: direct link, hf CLI and curl.
- Browser
- Download file 638 kB
-
https://huggingface.co/trl-internal-testing/tiny-Qwen2AudioForConditionalGeneration/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://trl-internal-testing/tiny-Qwen2AudioForConditionalGeneration/tokenizer_config.json
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curl -L -o tokenizer_config.json https://huggingface.co/trl-internal-testing/tiny-Qwen2AudioForConditionalGeneration/resolve/main/tokenizer_config.json
638 kB
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