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
File size: 316 Bytes
46475d4 | 1 2 3 4 5 6 7 8 | from .configuration_fastslm import FastSLMConfig
from .modeling_fastslm import FastSLMForConditionalGeneration # FastALMForCausalLM
from transformers import AutoConfig, AutoModelForCausalLM
AutoConfig.register("fastslm", FastSLMConfig)
AutoModelForCausalLM.register(FastSLMConfig, FastSLMForConditionalGeneration)
|