Instructions to use ExplodeMediaG/Testseacg with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastai
How to use ExplodeMediaG/Testseacg with fastai:
from huggingface_hub import from_pretrained_fastai learn = from_pretrained_fastai("ExplodeMediaG/Testseacg") - Notebooks
- Google Colab
- Kaggle
| license: mit | |
| datasets: | |
| - Aratako/Synthetic-JP-Preference-Dataset-Qwen2.5_72B-191k | |
| - HuggingFaceH4/numina-deepseek-r1-qwen-7b | |
| - hpprc/r1-distill-qwen-pseudo-qa | |
| - Qwen/ProcessBench | |
| - rulins/DeepSeek-R1-Distill-Qwen-32B_NUMINA_train_amc_aime | |
| language: | |
| - en | |
| metrics: | |
| - accuracy | |
| base_model: | |
| - deepseek-ai/DeepSeek-R1 | |
| - deepseek-ai/DeepSeek-V3 | |
| - DevQuasar/deepseek-ai.DeepSeek-V3-Base-GGUF | |
| - deepseek-ai/DeepSeek-R1-Distill-Qwen-32B | |
| - deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B | |
| - Qwen/Qwen2.5-VL-7B-Instruct | |
| - Qwen/Qwen2.5-VL-72B-Instruct | |
| new_version: deepseek-ai/DeepSeek-R1 | |
| tags: | |
| - music | |
| - art | |
| library_name: fastai | |