Instructions to use jongwooko/Flex-Omni-7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jongwooko/Flex-Omni-7B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="jongwooko/Flex-Omni-7B")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("jongwooko/Flex-Omni-7B") model = AutoModelForMultimodalLM.from_pretrained("jongwooko/Flex-Omni-7B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from jongwooko/Flex-Omni-7B: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/jongwooko/Flex-Omni-7B/resolve/main/tokenizer.json
- Command line
-
hf download hf://jongwooko/Flex-Omni-7B/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/jongwooko/Flex-Omni-7B/resolve/main/tokenizer.json
11.4 MB
- Xet hash:
- c38861918c23af9030c7cfd8daefca315dc8e0fde29740104d391c2360e69753
- Size of remote file:
- 11.4 MB
- SHA256:
- 8441917e39ae0244e06d704b95b3124795cec478e297f9afac39ba670d7e9d99
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