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:
# Load model directly from transformers import AutoProcessor, AutoModelForSeq2SeqLM processor = AutoProcessor.from_pretrained("trl-internal-testing/tiny-Qwen2AudioForConditionalGeneration") model = AutoModelForSeq2SeqLM.from_pretrained("trl-internal-testing/tiny-Qwen2AudioForConditionalGeneration") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b91b68989aaa275a75595af51c43273b09ec59ae317f0566543c8335073f33f2
- Size of remote file:
- 12 MB
- SHA256:
- 1d466fd119821fa5ac2d8d99b740b042bcde55dd564c575a514cd82fc56dddb6
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