Audio-to-Audio
Transformers
Safetensors
English
Chinese
omni2_speech2s_qwen2
text-generation
speech
empathetic-dialogue
custom-code
Instructions to use ICTNLP/FreezeEmpath with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ICTNLP/FreezeEmpath with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("ICTNLP/FreezeEmpath", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Delete all_results.json with huggingface_hub
Browse files- all_results.json +0 -8
all_results.json
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{
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"epoch": 1.0,
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"total_flos": 5.395358533078221e+18,
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"train_loss": 1.0762467793451473,
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"train_runtime": 9311.7449,
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"train_samples_per_second": 89.96,
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"train_steps_per_second": 2.811
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}
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