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-ASR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use okestro-ai-lab/FastSLM-ASR with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("okestro-ai-lab/FastSLM-ASR", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- becdb196d7cb98a60c1edcbfee1390b317915697d9a2d11618f5d6426c758ef8
- Size of remote file:
- 209 kB
- SHA256:
- 09948cd4b7f6c2496770b1443b3d6f6a8c8647f0fe8e9c509d771e9568be2971
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.