Audio-Text-to-Text
Transformers
TensorBoard
Safetensors
qwen2-audio
audio
dcase
sft
grpo
lora
checkpoints
Instructions to use darkraider42/dcase-paper-checkpoints with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use darkraider42/dcase-paper-checkpoints with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("darkraider42/dcase-paper-checkpoints", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K
- checkpoints
- debug_grpo
- debug_grpo_all
- debug_grpo_easy
- debug_sft
- debug_sft_minimal
- grpo
- grpo_all
- grpo_all_0.2
- grpo_all_baseline
- grpo_all_div_0.3
- grpo_all_div_0.7
- grpo_all_easy_diverse
- grpo_all_hard
- grpo_all_hard_selective
- grpo_easy
- grpo_easy_baseline
- grpo_easy_div_0.3
- grpo_easy_div_0.7
- grpo_easy_diverse
- grpo_hard_only
- grpo_hard_selective
- grpo_stage1_very_easy
- grpo_stage2_medium
- grpo_stage3_all
- grpo_very_easy_0.2
- sft
- sft_3stage
- sft_all_datasets-nolora
- sft_all_datasets
- sft_baseline_3epoch
- sft_diversity_0.3
- sft_diversity_0.7
- sft_easy_0.2
- sft_easy_diverse
- sft_hard_only
- sft_hard_selective
- sft_sample_0.001
- 118 kB
- 948 Bytes