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
Update __init__.py
Browse files- __init__.py +6 -5
__init__.py
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from .
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from .
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from transformers import AutoConfig, AutoModelForCausalLM
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AutoConfig.register("
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AutoModelForCausalLM.register(
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from .configuration_symphony import SymphonyConfig
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from .modeling_symphony import SymphonyForConditionalGeneration
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from transformers import AutoConfig, AutoModelForCausalLM, AutoModel
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AutoConfig.register("symphony", SymphonyConfig)
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AutoModelForCausalLM.register(SymphonyConfig, SymphonyForConditionalGeneration)
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AutoModel.register(SymphonyConfig, SymphonyForConditionalGeneration)
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