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
File size: 194 Bytes
7bff21b | 1 2 3 4 5 6 7 8 9 10 | ---
library_name: transformers
tags:
- trl
---
# Tiny Qwen2AudioForConditionalGeneration
This is a minimal model built for unit tests in the [TRL](https://github.com/huggingface/trl) library.
|