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 requirements.txt from zeroMN/SHMT: direct link, hf CLI and curl.
- Browser
- Download file 113 Bytes
-
https://huggingface.co/zeroMN/SHMT/resolve/main/requirements.txt
- Command line
-
hf download hf://zeroMN/SHMT/requirements.txt
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curl -L -o requirements.txt https://huggingface.co/zeroMN/SHMT/resolve/main/requirements.txt
113 Bytes
| torch | |
| numpy | |
| pandas | |
| scikit-learn | |
| code_generator | |
| nlp_encoder | |
| speech_encoder | |
| text_generator | |
| vision_encoder | |