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
Add paper and code links
#1
by nielsr HF Staff - opened
This PR adds direct links to the paper page (FastSLM: Hierarchical Temporal Abstraction for Efficient Long-Form Speech Adaptation) and the GitHub repository (https://github.com/Lee-junseok1025/FastSLM) to the model card. The existing metadata and content are otherwise well-structured and do not require further changes.