Audio-Text-to-Text
Transformers
English
Chinese
transformer
multimodal
vqa
text
audio
Eval Results (legacy)
Instructions to use zeroMN/SHMT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zeroMN/SHMT with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("zeroMN/SHMT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download code_generator/tokenizer.json from zeroMN/SHMT: direct link, hf CLI and curl.
- Browser
- Download file 3.56 MB
-
https://huggingface.co/zeroMN/SHMT/resolve/main/code_generator/tokenizer.json
- Command line
-
hf download hf://zeroMN/SHMT/code_generator/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/zeroMN/SHMT/resolve/main/code_generator/tokenizer.json
3.56 MB
File too large to display, you can check the raw version instead.