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 generation_config.json from okestro-ai-lab/FastSLM: direct link, hf CLI and curl.
- Browser
- Download file 166 Bytes
-
https://huggingface.co/okestro-ai-lab/FastSLM/resolve/main/generation_config.json
- Command line
-
hf download hf://okestro-ai-lab/FastSLM/generation_config.json
-
curl -L -o generation_config.json https://huggingface.co/okestro-ai-lab/FastSLM/resolve/main/generation_config.json
166 Bytes
| { | |
| "do_sample": true, | |
| "eos_token_id": 151645, | |
| "pad_token_id": 151643, | |
| "temperature": 0.2, | |
| "top_k": 20, | |
| "top_p": 0.95, | |
| "transformers_version": "4.51.3" | |
| } | |