Audio-Text-to-Text
Transformers
Safetensors
English
Korean
fastslm
feature-extraction
audio
text-generation
custom_code
Eval Results
Instructions to use okestro-ai-lab/FastSLM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use okestro-ai-lab/FastSLM with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("okestro-ai-lab/FastSLM", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download __pycache__/__init__.cpython-310.pyc from okestro-ai-lab/FastSLM: direct link, hf CLI and curl.
- Browser
- Download file 391 Bytes
-
https://huggingface.co/okestro-ai-lab/FastSLM/resolve/main/__pycache__/__init__.cpython-310.pyc
- Command line
-
hf download hf://okestro-ai-lab/FastSLM/__pycache__/__init__.cpython-310.pyc
-
curl -L -o __init__.cpython-310.pyc https://huggingface.co/okestro-ai-lab/FastSLM/resolve/main/__pycache__/__init__.cpython-310.pyc
391 Bytes
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